#tools

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

Web content fetching and conversion for efficient LLM usage

Official Lexiang MCP Server

mcp-probe-kit is a protocol-level toolkit designed for developers who want AI to truly understand their project's intent. It's not just a collection of 21 tools—it's a context-aware system that helps AI agents grasp what you're building.

MCP Server that gives AI coding assistants instant access to your entire codebase through a persistent Tree-sitter index. Instead of grep flooding your context with 2000+ tokens per search, AiDex returns precise identifier matches in ~50 tokens. Supports 11 languages: C#, TypeScript, JavaScript, Rust, Python, C, C++, Java, Go, PHP, Ruby. Features include method signatures, cross-project search, time-based filtering, session notes, and an interactive browser-based viewer.

CouchLoop EQ is an MCP (Model Context Protocol) server that provides behavioral governance for LLMs. It monitors AI responses for hallucination, inconsistency, tone drift, and unsafe reasoning patterns, while also managing stateful sessions and guided journeys that remember where you left off.

RLM solves Claude Code's biggest limitation: memory loss. Every time you /compact or hit the context limit, your decisions, insights, and conversation history disappear. RLM fixes this with an MCP server that auto-saves before context loss, lets you store key decisions as searchable insights, and keeps your full conversation history in persistent chunks. Features include BM25 ranked search, fuzzy matching (typo-tolerant), multi-project organization, and smart retention that auto-archives old chunks. Inspired by MIT CSAIL's Recursive Language Models paper. Install in 3 lines, zero configuration needed.

MCP server for GAS Library Hub - Search and discover Google Apps Script libraries. Features include keyword/tag-based search, star count filtering, and detailed library information with AI-generated summaries and usage examples in Japanese and English. --- Google Apps Script（GAS）ライブラリをAI要約付きで検索・発見。キーワード・タグ・Star数での検索と詳細情報の取得が可能。

CodeSherlock is an AI- based code analysis tool that validates unstaged changes and commits directly inside IDEs and AI Agents. It helps developers catch security, quality, and design issues early by combining deep analysis with compliance-aware checks OWASP, CWE, SOC-2 at the moment code is written. CodeSherlock also performs other security vulnerability reviews along with Maintainability, Reliability and Scalability checks. Use CodeSherlock to review and validate code especially generated via AI.

npm: @tastehub/ckb brew tap SimplyLiz/ckb && brew install ckb Website: https://codeknowledge.dev Description: Code intelligence MCP server with 80+ tools for understanding, navigating, and safely changing codebases. **Key capabilities:** - Semantic symbol search, call graphs, and usage tracing - Change impact analysis with blast radius and risk scoring - Dead code detection and affected test identification - Architecture exploration and module dependency maps - Ownership lookup with drift detection - Compound operations (explore, understand, prepareChange) that reduce AI tool calls by 60-70% **Supports:** Go, TypeScript, Python, Rust, Java, Kotlin, C++, Dart, Ruby, C# **Install:** `npm install -g @tastehub/ckb && ckb init && ckb index && ckb setup` **Works with:** Claude Code, Cursor, Windsurf, VS Code, Grok, Claude Desktop, OpenCode, ...

AI-native SaaS discovery and recommendation MCP server. Search 150+ curated SaaS tools, get personalised recommendations based on business needs, retrieve detailed tool information, categories, and directory statistics. Optimised for agents that need structured SaaS discovery instead of web search.

VAP is an MCP server for AI media generation with cost control. Generate images (Flux2 Pro), videos (Veo 3.1), and music (Suno V5) with deterministic pricing. Features: Pre-commit pricing – Know exact cost before execution Budget enforcement – Reserve → Burn → Refund model Deterministic retry behavior – No runaway costs Production-ready outputs – Normalized to broadcast standards Available tools: generate_image, generate_video, generate_music, estimate_cost, check_balance, get_task, list_tasks Requirements: API key from api.vapagent.com + minimum $1 deposit

The Jotform MCP server provides programmatic access to forms and submissions via natural language interfaces, compatible with popular AI assistants including Cursor and VS Code extensions. Implementation follows the open Model Context Protocol specification, ensuring interoperability with any MCP-compatible client. The service is actively being optimized based on real-world usage patterns.This MCP is actively maintained and more tools will come soon.

Stop feeding your agent raw HTML. BrowserControl gives LLMs true visual grounding with Set of Marks (SoM), letting them click exactly what they see without hallucinating selectors. With built-in developer tools, session recording, and persistent logins, it transforms web automation from a brittle guessing game into a reliable, human-like capability. Give your agent eyes, not just code.

token获取方式 1. 访问 https://mastergo.com 2. 进入个人设置 3. 点击安全设置选项卡 4. 找到个人访问令牌 5. 点击生成令牌token - 设计文件必须放在 **团队项目** 中（团队版权限） - 草稿箱中的文件无法通过 MCP 工具访问

A production-ready MCP server that gives AI agents deep codebase understanding. Features AST-based semantic analysis, context-aware security scanning (zero false positives on source code), safe refactoring tools with previews, and comprehensive Git operations.

获取 MG_MCP_TOKEN 1. 访问 https://mastergo.com 2. 进入个人设置 3. 点击安全设置选项卡 4. 找到个人访问令牌 5. 点击生成令牌 设计文件必须放在有权限的团队项目中（团队版及团队版以上权限） 草稿箱中的文件无法通过 MCP 工具访问

# 获取 MG_MCP_TOKEN 1. 访问 https://mastergo.com 2. 进入个人设置 3. 点击安全设置选项卡 4. 找到个人访问令牌 5. 点击生成令牌 # 设计文件需要放入团队版团队项目中，草稿箱文件不适用

Manage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)

Open Source AI Code Review

Kodus MCP HTTP server exposing OSV (v1) for open source vulnerability lookup via osv_query/osv_query_batch tools.

Browser automation for web scraping when standard HTTP requests fail. Use ONLY when pages require: (1) Authentication - login forms, SSO, 401/403 errors, corporate intranets, (2) Anti-bot protection - CAPTCHA, Cloudflare challenges, rate limiting, (3) JavaScript rendering - SPAs, dynamic content loaded after page load. Can fetch pages, click elements, fill forms, and extract content. Opens real browser for user authentication, then automates interactions and extraction. DO NOT use for simple HTML pages that work with regular HTTP GET requests.

Tech stack recommendations for developers. 4 free tools + Pro features with API key. Deterministic scoring across 30+ technologies.

Turn Claude or Cursor into your personal AI Financial Analyst. FinancialData.Net API provides end-of-day and intraday stock market data, company financial statements, key financial ratios and metrics, insider and institutional trading data, sustainability data, earnings releases, and much more. Over 20 years of historical data is available, including information on 17,000+ stocks, 20,000+ funds, 3,000+ ETFs, 13,000+ OTC securities, and 200,000+ derivatives.

Cut through the noise. Learn practical AI tools for Web Workers, Digital Marketers and SEO practitioners that can improve your workflow and your team’s efficiency. From MCP servers, custom development to local LLMs, Houtini shows you what works, why it matters, and exactly how to use it.

BrowserAct MCP Server is a standardized service that lets MCP Clients interact with the BrowserAct platform through the Model Context Protocol (MCP). With it, MCP Clients can: Discover and execute browser automation workflows as MCP Tools Read outputs (results, files) and access related data storage Trigger real-world actions via natural language (e.g., send messages, create tasks, update records) Key Features 1. Multi-Scenario Support: Enables MCP Clients to run targeted tasks or complex searches across different applications 2. Natural Language Interaction: Describe what you need—no complex code or commands 3. Unlimited Tool Exposure: One MCP Server can expose unlimited MCP Tools 4. Multi-Client Compatibility: Works with Claude, ChatGPT, OpenAI Agent Builder, and other MCP-compatible clients

Monitor cron jobs and scheduled tasks. Get alerts when they don't run, see why they failed with captured output. Create and manage monitors directly from Claude, Cursor, or any MCP-compatible AI assistant.

AI-Safe Code Analysis with 113+ MCP tools - guard, memory, workflow, testing, latent chain

A file mover tool that stages and executes file moves safely. Works as both a CLI tool and an MCP server for AI agents. - Session-based workflow: Stage multiple file moves, preview them, then commit all at once - Safety first: Preview changes before executing, validate file paths and conflicts - Dual mode: Works as both a command-line tool (fm) and an MCP server for AI agents - Overwrite control: Explicit opt-in for overwriting existing files - Clear error messages: Actionable guidance when things go wrong

sholarPlot MCP - AI-powered scientific figure generator for researchers. Create publication-ready charts, neural network diagrams, flowcharts & mechanism illustrations that meet Nature/Science/IEEE journal standards in seconds

MCP Go Server connects AI assistants like Claude directly to the Go runtime. It acts as a bridge, giving your AI the necessary tools to execute, manage, and optimize Go-based development workflows efficiently.

Persistent memory for AI coding assistants. Works across Cursor, Claude, Windsurf, VS Code and any MCP client. Remember decisions, search semantically, analyze code dependencies — 60+ tools. Your AI's permanent brain.

A growing collection of MCP tools for Android Development. Currently features a deterministic Figma-SVG-to-Android-XML converter, with plans for Gradle analysis, Resource management, and ADB integration tools.

CodeConductor IDE Orchestrator gives Claude Desktop full access to your development environment through a secure MCP server. It connects Claude to your VS Code workspace, enabling real file operations, code navigation, Git workflows, and automated development tasks. The server exposes 24 IDE tools, including: File operations — open, read, write, list, search Code intelligence — go to definition, find references, diagnostics Git automation — status, diff, stage, commit, push (Pro) Command execution — run terminal commands safely (Pro) Command Execution Safety: Pro users can run commands through Claude, but everything is protected by a three-tier safety system. Safe commands run automatically, while higher-risk commands require explicit confirmation and are screened for dangerous patterns. This prevents accidental damage and blocks command injection attempts. All operations run locally on your machine, never transmit code, and follow a tier-based permission system (Free vs Pro). Requires the CodeConductor VS Code extension to function. This orchestrator turns Claude into a capable, controlled development assistant that operates directly inside your real project.

A Model Context Protocol (MCP) server that provides secure SSH capabilities for AI assistants, enabling remote command execution, SFTP file transfers, and port forwarding with comprehensive security controls. Features: - 🔐 Secure SSH Command Execution - Execute commands on remote servers with granular security controls - 🛡️ Host Allowlisting - Only connect to pre-configured, trusted servers - 📁 SFTP File Operations - Upload, download, list, and delete files on remote servers - 🌉 SSH Port Forwarding - Create secure tunnels to access remote services - 🔄 Connection Pooling - Persistent connections with automatic management - 🔑 SSH Key Authentication - Secure authentication using SSH private keys - ⚙️ SSH Config Integration - Import servers from your existing SSJ config file - ✅ Command Allowlisting - Restrict which commands can be executed - 📦 Named Services - Pre-configured port forwarding services for common use cases - 🎯 Command Templates - Reusable parameterized commands with variable substitution

Create uncensored, high-quality, watermark-free AI images completely free and unlimited. Powered by the Flux.Dev open-source model, PictoFlux outputs HD results in ~5 seconds with up to 4 images generated in parallel so you can compare and pick the best. Choose from 25+ preset styles, multiple aspect ratios and high-res sizes, no registration required, with quality rivaling GPT-4o and other commercial models.

Open-source RAG platform to build secure, intelligent AI agents for enterprise data.

**SlashMCP** is a production-grade AI workspace that connects LLMs to real-world data and tools through an intuitive chat interface. Built on the Model Context Protocol (MCP), it enables seamless interaction with multiple AI providers (OpenAI, Claude, Gemini) while providing powerful capabilities for document analysis, financial data queries, web scraping, and multi-agent workflow orchestration. ### Key Features: - **Multi-LLM Support**: Switch between GPT-4, Claude, and Gemini at runtime—no restart needed - **Smart Command Autocomplete**: Type `/` to discover and execute MCP server commands instantly - **Document Intelligence**: Drag-and-drop documents with automatic OCR extraction and vision analysis - **Financial Data Integration**: Real-time stock quotes, charts, and prediction market data via Alpha Vantage and Polymarket - **Browser Automation**: Web scraping and navigation using Playwright MCP - **Multi-Agent Orchestration**: Intelligent routing with specialized agents for command discovery, tool execution, and response synthesis - **Dynamic MCP Registry**: Add and use any MCP server on the fly without code changes - **Voice Interaction**: Browser-based transcription and text-to-speech support ### Use Cases: - Research and analysis workflows - Document processing and extraction - Financial market monitoring - Web data collection and comparison - Multi-step task automation **Live Demo:** [ slashmcp.vercel.app ]( https://slashmcp.vercel.app ) **GitHub:** [ github.com/mcpmessenger/slashmcp ]( https://github.com/mcpmessenger/slashmcp ) **Website:** [ slashmcp.com](https://slashmcp.com )

A production-ready MCP server that exposes LangChain agent capabilities through the Model Context Protocol. Provides multi-step reasoning with ReAct pattern, tool support (web search, weather lookup), and is deployed on Google Cloud Run for scalable, serverless operation.

An MCP server that publishes CLI tools on your machine for discoverability by LLMs

Intelligent code versioning (snapshots) and automatic documentation generator. With CLI, REST API, and MCP support.

The TestingBot MCP server allows you to take screenshots of your website on multiple browsers and operating systems. Create CDP sessions and interface with the TestingBot service.

Stops AI from writing duplicate code. Forces Claude/Cursor/Windsurf to analyze existing code first, get approval on plans, then execute step-by-step. Engineering gates ensure no hallucinations or breaking changes.

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for seamless Claude Desktop and other LLM Client integration.

A Model Context Protocol (MCP) stdio server that exposes Discourse forum capabilities as tools for AI agents. Works with all deployments of discourse.org, self hosted or cloud hosted. just generate an API key to connect.

**Altinity MCP Server** is a production-ready MCP server designed to empower AI agents and LLMs to interact seamlessly with ClickHouse. It exposes your ClickHouse database as a set of standardized tools and resources that adhere to the MCP protocol, making it easy for agents built on OpenAI, Claude, or other platforms to query, explore, and analyse your data. ### Why use this server? * Seamless AI-agent integration: Designed so that agents built using OpenAI can call your database as if it were a tool. * Flexible transport support: STDIO for local workflows, HTTP for traditional REST-style calls + streaming support via SSE for interactive flows. * Full tooling and protocol support: Built-in tools for schema introspection, SQL execution, resource discovery. * Security and enterprise-grade: Supports JWE/JWT authentication, TLS for ClickHouse connection and MCP endpoints. * Open-source and extensible: You can customise, extend, embed into your stack. ### Key Features * **Transport Options**: * **STDIO**: Run locally via standard input/output — ideal for embedded agents or local workflows. * **HTTP**: Exposes MCP tools as HTTP endpoints, enabling Web, backend, agent access. * **SSE (Server-Sent Events)**: Enables streaming responses — useful when you want the agent to receive chunks of results, respond interactively, or present live data. * **OpenAPI Integration**: When HTTP or SSE mode is enabled, the server can generate a full OpenAPI specification (v3) describing all tools and endpoints. This makes it easy for OpenAI-based agents (or other LLM platforms) to discover and call your tools programmatically. * **Security & Authentication**: Optional JWE token authentication, JWT signing, TLS support both for the MCP server and the underlying ClickHouse connection. * **Dynamic Resource Discovery**: The server can introspect the ClickHouse schema and automatically generate MCP “resources” (tables, views, sample data) so agents understand your data context without manual intervention. * **Configuration Flexibility**: Configure via environment variables, YAML/JSON configuration file or CLI flags. Includes hot-reload support so you can adjust config without full restart. ### Use-Cases * AI assistant integrated with OpenAI: For example, you build an agent using OpenAI’s API which reads your schema via the OpenAPI spec, selects the right tool, calls the HTTP/SSE endpoint of the MCP server, and returns analytic results to the user. * Streaming analytics: Large result sets, or interactive analytics flows, where SSE streaming gives progressive results, keeps your UI or agent responsive. * Secure enterprise access: Instead of giving agents full DB credentials, you expose via the MCP server with fine-grained auth, limit enforcement, TLS, and tool-level control. * Schema-aware LLM workflows: Because the server exposes table and column metadata and sample rows as resources, the LLM can reason about your data structure, reducing errors and generating better SQL or queries.

Persistent codebase intelligence that gives agents memory across sessions.

Arch MCP provides three main capabilities: - 🔍 Resources - URI-based access to Arch Wiki, AUR packages, official repos, and installed packages - 🛠️ Tools - Search, analyze, and securely install packages with built-in safety checks - 📋 Prompts - Guided workflows for troubleshooting, security audits, and dependency analysis

Use zip1.io directly from AI assistants like Claude through the Model Context Protocol (MCP). Shorten URLs, retrieve analytics, and manage links using natural language commands.

The CodeScene MCP Server exposes CodeScene’s Code Health analysis as local AI-friendly tools.

The MCP server for Bitrix24 provides AI assistants with structured access to the Bitrix24 API. It delivers up-to-date method descriptions, parameters, and valid values, allowing assistants to work with precise data instead of guesswork. This reduces code errors and accelerates Bitrix24 integration development.

The MCP server for Bitrix24 provides AI assistants with structured access to the Bitrix24 API. It delivers up-to-date method descriptions, parameters, and valid values, allowing assistants to work with precise data instead of guesswork. This reduces code errors and accelerates Bitrix24 integration development.

Let your LLM find the right tool automatically – no manual setup for each tool! MCPIndex is a Model Context Protocol (MCP) server that enables LLMs to automatically discover and invoke suitable MCP tools, eliminating the need to manually find and configure suitable MCP tools for every task.

本插件为 Model Context Protocol（MCP）提供了企业级 OpenAPI 文档能力，自动聚合并标准化 企业微信 与 飞书 的开放接口文档的MCP服务。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景

本插件为 Model Context Protocol（MCP）提供了企业级 OpenAPI 文档能力，自动聚合并标准化 企业微信 与 飞书 等的开放接口文档。 通过统一上下文调用、搜索和补全，开发者可在无需频繁查阅官网文档的情况下，快速获取接口定义、请求参数、响应结构及权限要求。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景。

Smart AI Bridge is a production-ready Model Context Protocol (MCP) server that orchestrates AI-powered development operations across multiple backends with automatic failover, smart routing, and advanced error prevention capabilities. Key Features 🤖 Multi-AI Backend Orchestration Pre-configured 4-Backend System: 1 local model + 3 cloud AI backends (fully customizable - bring your own providers) Fully Expandable: Add unlimited backends via EXTENDING.md guide Intelligent Routing: Automatic backend selection based on task complexity and content analysis Health-Aware Failover: Circuit breakers with automatic fallback chains Bring Your Own Models: Configure any AI provider (local models, cloud APIs, custom endpoints) 🎨 Bring Your Own Backends: The system ships with example configuration using local LM Studio and NVIDIA cloud APIs, but supports ANY AI providers - OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, custom APIs, or local models via Ollama/vLLM/etc. See EXTENDING.md for integration guide. 🎯 Advanced Fuzzy Matching Three-Phase Matching: Exact (<5ms) → Fuzzy (<50ms) → Suggestions (<100ms) Error Prevention: 80% reduction in "text not found" errors Levenshtein Distance: Industry-standard similarity calculation Security Hardened: 9.7/10 security score with DoS protection Cross-Platform: Automatic Windows/Unix line ending handling 🛠️ Comprehensive Toolset 19 Total Tools: 9 core tools + 10 intelligent aliases Code Review: AI-powered analysis with security auditing File Operations: Advanced read, edit, write with atomic transactions Multi-Edit: Batch operations with automatic rollback Validation: Pre-flight checks with fuzzy matching support 🔒 Enterprise Security Security Score: 9.7/10 with comprehensive controls DoS Protection: Complexity limits, iteration caps, timeout enforcement Input Validation: Type checking, structure validation, sanitization Metrics Tracking: Operation monitoring and abuse detection Audit Trail: Complete logging with error sanitization 🏆 Production Ready: 100% test coverage, enterprise-grade reliability, MIT licensed 🚀 Multi-Backend Architecture Flexible 4-backend system pre-configured with 1 local + 3 cloud backends for maximum development efficiency. The architecture is fully expandable - see EXTENDING.md for adding additional backends. 🎯 Pre-configured AI Backends The system comes with 4 specialized backends (fully expandable via EXTENDING.md): Cloud Backend 1 - Coding Specialist (Priority 1) Specialization: Advanced coding, debugging, implementation Optimal For: JavaScript, Python, API development, refactoring, game development Routing: Automatic for coding patterns and task_type: 'coding' Example Providers: OpenAI GPT-4, Anthropic Claude, Qwen via NVIDIA API, Codestral, etc. Cloud Backend 2 - Analysis Specialist (Priority 2) Specialization: Mathematical analysis, research, strategy Features: Advanced reasoning capabilities with thinking process Optimal For: Game balance, statistical analysis, strategic planning Routing: Automatic for analysis patterns and math/research tasks Example Providers: DeepSeek via NVIDIA/custom API, Claude Opus, GPT-4 Advanced, etc. Local Backend - Unlimited Tokens (Priority 3) Specialization: Large context processing, unlimited capacity Optimal For: Processing large files (>50KB), extensive documentation, massive codebases Routing: Automatic for large prompts and unlimited token requirements Example Providers: Any local model via LM Studio, Ollama, vLLM - DeepSeek, Llama, Mistral, Qwen, etc. Cloud Backend 3 - General Purpose (Priority 4) Specialization: General-purpose tasks, additional fallback capacity Optimal For: Diverse tasks, backup routing, multi-modal capabilities Routing: Fallback and general-purpose queries Example Providers: Google Gemini, Azure OpenAI, AWS Bedrock, Anthropic Claude, etc. 🎨 Example Configuration: The default setup uses LM Studio (local) + NVIDIA API (cloud), but you can configure ANY providers. See EXTENDING.md for step-by-step instructions on integrating OpenAI, Anthropic, Azure, AWS, or custom APIs. 🧠 Smart Routing Intelligence Advanced content analysis with empirical learning: // Smart Routing Decision Tree if (prompt.length > 50,000) → Local Backend (unlimited capacity) else if (math/analysis patterns detected) → Cloud Backend 2 (analysis specialist) else if (coding patterns detected) → Cloud Backend 1 (coding specialist) else → Default to Cloud Backend 1 (highest priority) Pattern Recognition: Coding Patterns: function|class|debug|implement|javascript|python|api|optimize Math/Analysis Patterns: analyze|calculate|statistics|balance|metrics|research|strategy Large Context: File size >100KB or prompt length >50,000 characters

Agentic assistant that handles the complexity while you focus on results. With MCP support and advanced Orchestrator/Agent capabilities, BB connects to hundreds of external data sources & tools and breaks down complex tasks for maximum efficiency.

Enables AI tools to interact with ConfigCat, a feature flag service for teams. Supports managing ConfigCat feature flags, configs, environments, products and organizations. Helps to integrate ConfigCat SDK, implement feature flags and remove zombie (stale) flags.

Connect your agent to securely create, update, and operate your applications. Build from source archives or use registry images, configure env vars, ports, volumes, and commands, and manage lifecycle actions. Inspect status and logs, run commands in running containers, and deploy via Git with generated credentials.

Create and manage feature flags. Enable your editor to understand your feature flags, their states, and their relationships within your codebase.

Transform your AI agents into Apple development experts! Apple RAG MCP gives you instant access to official Swift docs, design guidelines, and comprehensive Apple platform knowledge through cutting-edge RAG technology. With professional AI reranking and hybrid search across iOS, macOS, watchOS, tvOS, and visionOS documentation plus Apple Developer YouTube content, you'll get precise, contextual answers every time. Compatible with Cursor, Claude Desktop, and all MCP tools - start building smarter Apple apps today!

Webvizio MCP Server - Automatically converts feedback and bug reports from websites and web apps into actionable, context-enriched developer tasks. Delivered straight to your AI coding tools, the Webvizio MCP Server ensures your AI agent has all the data it needs to solve tasks with speed and accuracy.

Connect your agent to securely create, update, and operate your applications. Build from source archives or use registry images, configure env vars, ports, volumes, and commands, and manage lifecycle actions. Inspect status and logs, run commands in running containers, and deploy via Git with generated credentials.

Tool to Prevent AI tunnel-vision in critical workflows. Vibe Check MCP v2.5 introduces Chain-Pattern Interrupts (CPI) to enhance your infrastructure stack. mitigates over-engineering, scope creep, and misalignment by injecting Socratic checkpoints into agent reasoning. - Supports Gemini API, OpenRouter and OpenAI models. - Logs errors for continuous improvement. - Trusted by 11k+ developers. - Strong CI and Security testing protocol built in. Integrate this metacognitive guardrail into your blockchain, data pipelines, or agent-development stacks for robust AI safety and alignment. Visit https://pruthvibhat.com/work/vibecheck-mcp/ for more details. Links: https://murst.org/ https://pruthvibhat.com/ Author: Pruthvi Bhat Tags: metacognition, CPI, AI-safety, agent-frameworks, infrastructure-tools,

Collègue est un serveur MCP d’assistance au développement, basé sur FastMCP, qui automatise l’analyse, la génération, le refactoring, la documentation et la création de tests unitaires pour du code multi‑langages, avec configuration LLM dynamique et intégration OAuth/Keycloak.

A powerful IPCONFIG MCP (Model Context Protocol) server built on Cloudflare Workers, providing IP address lookup, geolocation, and network connectivity testing tools for AI assistants.

Advanced MCP server for comprehensive web research, content discovery, and trends analysis. Features multi-engine search, intelligent content extraction, website traversal, and real-time data streaming.

Scalekit Model Context Protocol (MCP) server provides comprehensive tools for managing environments, organizations, users, connections, and workspace operations. Built for developers who want to connect their AI tools to Scalekit context and capabilities based on simple natural language queries. This MCP server enables AI assistants to interact with Scalekit’s identity and access management platform through a standardized set of tools. It provides secure, OAuth-protected access to manage environments, organizations, users, authentication connections, and more. Features Environment management and configuration Organization and user management Workspace member administration OIDC connection setup and management MCP server registration and configuration Role and scope management Admin portal link generation Configuration The Scalekit MCP server can be configured to support OAuth for compatible clients. If your MCP Client doesn’t support OAuth based authorization for MCP Servers, you can still use the Scalekit MCP server with the mcp-remote acting as a local proxy to add OAuth support. ## using OAuth: { "servers": { "scalekit": { "type": "http", "url": "https://mcp.scalekit.com/" } } } ## using mcp-remote: { "mcpServers": { "scalekit": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.scalekit.com/"] } } }

Smart, case-aware search & replace for codebases. Provides atomic renaming of symbols, files, and directories with full undo/redo. The MCP server lets AI assistants plan, preview, and apply rename operations safely, handling all naming conventions (snake_case, camelCase, PascalCase, etc.) automatically.

Docker MCP Server A comprehensive Model Context Protocol (MCP) server that provides advanced Docker operations through a unified interface. This server combines 16 powerful Docker MCP tools with 25+ convenient CLI aliases to create a complete Docker workflow solution for developers, DevOps engineers, and system administrators. 🌟 What Makes Docker MCP Server Special Docker MCP Server is not just another Docker wrapper - it's a complete Docker workflow enhancement system designed to make Docker operations more intuitive, secure, and efficient: 🎯 Unified Interface MCP Protocol Integration: Seamlessly works with MCP-compatible tools and IDEs CLI Convenience: 25+ carefully crafted aliases for common Docker workflows Consistent API: All operations follow the same patterns and conventions Cross-Platform: Full support for Linux, macOS, and Windows environments 🔒 Security-First Design Docker-Managed Security: All password operations handled by Docker daemon for maximum security Zero Password Exposure: Passwords never appear in command history, process lists, or arguments Token Authentication Support: Full support for Personal Access Tokens and service accounts Registry Flexibility: Secure login to Docker Hub, AWS ECR, Azure ACR, Google GCR, and custom registries CI/CD Security: Secure stdin password input for automated deployment pipelines Permission Management: Proper handling of Docker daemon permissions and credential storage 🚀 Developer Experience Comprehensive Help System: Every command includes detailed documentation with --help Smart Defaults: Sensible default configurations for common use cases Error Prevention: Built-in safety checks and confirmation prompts for destructive operations Rich Output: Formatted, colored output with clear status indicators 📊 Advanced Operations Complete Container Lifecycle: From build to publish with comprehensive registry support Multi-Container Management: Docker Compose integration with service orchestration Registry Publishing: Advanced image publishing with multi-platform support and automated workflows Network & Volume Management: Advanced networking and storage operations System Maintenance: Intelligent cleanup tools with multiple safety levels Development Workflows: Specialized commands for development environments

MCP-Airflow-API is a Model Context Protocol (MCP) server that transforms Apache Airflow REST API operations into natural language tools for LLM integration. Built for DevOps engineers, data engineers, and Airflow administrators who need intuitive cluster management capabilities.

MCP Ambari API is a powerful Model Context Protocol (MCP) server that enables seamless Apache Ambari cluster management through natural language commands. Built for DevOps engineers, data engineers, and system administrators who work with Hadoop ecosystems.

An MCP server for integrating with Twenty CRM, providing access to Twenty's REST API through categorized tools. The available tools map the entire Twenty REST API and were generated using the openapi-mcp-generator.

🚀 The ONLY browser automation that bypasses Cloudflare, antibots, and social media blocks. Supercharge any MCP-compatible AI agent with undetectable, real-browser automation. No CAPTCHAs. No blocks. Just results.⚡ 30-second setup • 🛡️ Undetectable by design • 🏆 98.7% success rate on protected sites • 🕵️ Full network debugging via AI chat Features: Works on protected sites that block traditional automation- Pixel-accurate element cloning via Chrome DevTools Protocol - Full network debugging through AI chat — see every request, response, header, and payload- Your AI agent becomes a network detective — no more guessing what APIs are being called- 🎛️ Modular architecture — disable unused sections, run minimal installs- ⚡ Lightweight deployments — from 21 core tools to full 88-tool arsenal- Clean MCP integration — no custom brokers or wrappers needed- 88 focused tools organized into 11 logical sections

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

Trigger a help request directly from your IDE via MCP and get human help in minutes

# Maven Tools MCP - AI-Powered Maven Central Intelligence MCP server providing instant, accurate dependency analysis for Maven, Gradle, SBT, Mill, and all JVM build tools. Get dependency intelligence that's faster and more reliable than web searches. ## Key Features - **Bulk Operations**: Analyze 20+ dependencies in one call (<500ms vs 60+ seconds manually) - **Universal JVM Support**: Works with Maven, Gradle, SBT, Mill using standard Maven coordinates - **Version Intelligence**: Automatic classification (stable/RC/beta/alpha) with stability filtering - **Age Analysis**: Classify dependencies as fresh/current/aging/stale with actionable insights - **Context7 Integration**: Smart documentation hints for complex upgrades and migrations - **Enterprise Performance**: <100ms cached responses, native images ## Perfect For - "Check all dependencies in this build file for latest versions" - "Show me only stable versions for production deployment" - "How old are my dependencies and which ones need attention?" - "Compare my current versions but only suggest stable upgrades" **Docker Installation**: One command setup with multi-architecture support. **GitHub**: https://github.com/arvindand/maven-tools-mcp

Konnektoren MCP Server helps you learn German faster and smarter. Instantly find answers to grammar questions, discover the best exercises for your level, and create your own interactive challenges—all in one place. Whether you’re a student, teacher, or self-learner, this server gives you easy access to high-quality German learning resources and tools, right inside your favorite AI assistant. No technical setup required—just connect and start improving your German today!

Spring AI Playground is a self-hosted web UI that simplifies AI experimentation and testing. It provides Java developers with an intuitive interface for working with large language models (LLMs), vector databases, prompt engineering, and Model Context Protocol (MCP) integrations. Built on Spring AI, it supports leading model providers and includes comprehensive tools for testing retrieval-augmented generation (RAG) workflows and MCP integrations. The goal is to make AI more accessible to developers, helping them quickly prototype Spring AI-based applications with enhanced contextual awareness and external tool capabilities.

MCP server for arXiv.org - Search, analyze, and export academic papers with AI assistants. Features advanced paper discovery, citation analysis, trend tracking, and multi-format exports.

A Model Context Protocol (MCP) server for interacting with Octopus Deploy. This server provides tools for managing projects, releases, and deployments through the MCP protocol. Features Project Management: List and query Octopus Deploy projects Release Management: Get latest releases and create new releases Deployment Management: Deploy releases and check deployment status Multi-Space Support: Work with different Octopus Deploy spaces Docker Support: Containerized deployment for easy integration

A Model Context Protocol (MCP) server for YouTube video transcripts and search.

An AI-powered developer experience for Aptos that lets users vibe code and deploy full-stack dApps with minimal setup.

⚡ Surgical Code Editing: Superhuman Precision The combination of `read_symbol` + `insert_text` unlocks revolutionary code editing capabilities that transform how AI agents work with codebases. 🚀 Superpowers Unlocked 🔍 Cross-Codebase Intelligence Find any symbol across entire repositories instantly ✂️ Precision Surgery Edit exact functions, classes, or code blocks 🎛️ Zero-Error Refactoring Update function signatures everywhere they exist

A comprehensive JSON Schema validation server implementing the Model Context Protocol (MCP) with support for JSON Schema Draft 2020-12, external references, schema management, and real-time streaming validation.

A Model Context Protocol (MCP) server that provides onchain tools for LLMs, allowing them to interact with the Solana network.

A comprehensive Model Context Protocol (MCP) server for SQL Server database operations. This server provides 10 powerful tools for database analysis, object discovery, and data manipulation through the MCP protocol.

Deepgram Saga is the first voice-native MCP client built for developers. It lets you speak natural commands to trigger actions across tools like GitHub, Linear, Slack, and Notion – no context switching required. Saga runs as a desktop app and supports any MCP server, turning fuzzy ideas into structured prompts, code, and commits. It’s optimized for end-to-end dev workflows, from scaffolding features to logging issues and sending updates. Voice in, work out.

A simple MCP server that lets your AI agent see and capture the web.

HAP (Super Application Platform) is developed by Mingdao（ https://www.mingdao.com ）The launched APaaS platform helps you build enterprise level applications quickly without coding. This is HAP's MCP (Model Context Protocol) server, used for seamless integration of AI. It enables every zero code application built through HAP to quickly become a tool for agents.

This MCP server provides AI agents with powerful code cleanup capabilities through knip.dev integration. It's designed to work seamlessly with Cursor AI and other MCP-compatible tools to maintain clean, efficient codebases.

A Model Context Protocol (MCP) server that provides translation management capabilities for i18next projects, enabling AI assistants like Cursor to directly interact with translation files.

MCP server for accessing Israeli Government Open Data through data.gov.il Enables Claude and other AI assistants to search, discover, and analyze thousands of government datasets from Israel's open data portal.

一个功能强大的 Pixiv 工具集，通过模型上下文协议 (MCP) 为大语言模型（如 Claude）提供浏览、搜索和下载 Pixiv 内容的能力。

Open-source MCP server for browser automation. Enables AI systems to control browsers, interact with web pages, and extract content programmatically.

Streamline development server management for AI coding agents. SupervisordMCP combines Circus process manager with Model Context Protocol (MCP), eliminating shell command complexity and reducing token consumption for AI-driven development workflows.

QuerySculptor is a GraphQL query builder designed for AI agents that provides 26 structured tools via the Model Context Protocol (MCP). Instead of generating complex GraphQL queries from scratch, AI agents can build queries step-by-step with real-time validation, schema introspection, and error prevention. It works with Claude, Cursor, and other MCP clients, using Redis for session management and featuring a live demo with the Pokemon API. The tool transforms the traditional error-prone approach of raw GraphQL generation into a guided, conversational workflow perfect for AI assistants and chatbots.

Streamline development server management for AI coding agents. CircusMCP combines Circus process manager with Model Context Protocol (MCP), eliminating shell command complexity and reducing token consumption for AI-driven development workflows.

The 4EVERLAND Hosting MCP Server enables users to leverage AI-driven workflows to deploy code instantly to decentralized storage networks such as Greenfield, IPFS, and Arweave. Upon deployment, it provides a directly accessible webpage domain, streamlining the process of deploying and sharing decentralized applications.

Model Context Protocol server for kwrds.ai keyword research and SEO tools.

The Agentipy MCP Server is an open-source Model Context Protocol (MCP) server that enables Claude AI to interact with the Solana blockchain. It provides a standardized interface for AI agents to perform various blockchain operations, including transactions, wallet management, and data queries.

A reference implementation of the SchemaPin protocol for cryptographically signing and verifying AI agent tool schemas to prevent supply-chain attacks.

A MCP server which loads the man pages of tools in $PATH as resource. The goal is to provide the LLM with context of the commands on the host machine

A comprehensive **Model Context Protocol (MCP)** server for market sizing analysis, TAM/SAM calculations, and industry research. Built with TypeScript, Express.js, and following the MCP 2024-11-05 specification.

🧠 Automated AI conversation recording and knowledge management system with MCP integration for Claude Desktop, VSCode, and Cursor

An MCP Server powered by Searchcraft – the developer-first vertical search engine.