#developer

⏩ 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

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.

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.

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

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.

The MailerSend MCP server lets you connect AI tools directly to your MailerSend account for real-time email management using the most current data. Use natural language prompts to send emails, manage domains, analyze performance, troubleshoot, and more. Quick and easy setup, just connect, authorize and start handling transactional email tasks faster and smarter.

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 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.

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。

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.

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!

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.

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

An MCP (Model Context Protocol) server for controlling and interacting with Xcode from AI assistants and LLMs like Claude Code, Cursor, Claude Desktop, LM Studio, etc. This server significantly improves the build cycle. Now Claude (or your favorite tool) can directly command Xcode to build your project. Because Xcode is building it directly (rather than xcodebuild command-line or similar), the build happens exactly the same way as when you build it in Xcode. Xcode-mcp-server returns relevant build errors or warnings back to your coding tool (like Cursor or Claude Code), so the LLM sees exactly the same errors you do. Included tool functions here - you don't really need to know this info because your coding LLM will get this info (and more details) automatically, but I've included it here for the curious: - version - Returns xcode-mcp-server's version string - get_xcode_projects - Finds all .xcodeproj and .xcworkspace projects in the given search_path. If search_path is empty, all paths to which the tool has been granted access are searched - get_project_hierarchy - Returns the path hierarchy of the project or workspace - get_project_schemes - Returns a list of build schemes for the specified project - build_project - Commands Xcode to build. This is the workhorse that builds your project again and again, returning success or build errors - run_project - Commands Xcode to run your project - get_build_errors - Returns most recent build errors from the given project - clean_project - Cleans build

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

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.

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

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.

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.

Warp is the fastest way to build with multiple AI agents—from writing code to shipping it. The best overall coding and terminal agent.

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.

Tool to fetch and summarize developer documentation from [MDN Web Docs](https://developer.mozilla.org/). ## Features - Search MDN for documentation using a query string. - Returns a summary (first paragraph) and a link to the full documentation. - Exposes an MCP-compatible tool server over stdio.

Interop CLI: Go command-line tool for efficient project management and command execution across your development workspace.

A Model Context Protocol (MCP) server providing tools for NPM package management and dependency updates. Helps LLMs like Claude interact with npm packages, search npm registry, and keep dependencies up-to-date.

提供对 [public-apis](https://github.com/public-apis/public-apis) 数据库的智能访问和管理功能。为开发者提供便捷的公共 API 发现、搜索和集成服务。通过标准化的 MCP 协议，您可以轻松地在各种 AI 助手和开发工具中集成丰富的公共 API 资源。

Stop AI coding disasters before they cost you weeks. Real-time anti-pattern detection for vibe coders who love AI tools but need a safety net to avoid expensive overengineering traps.

A Model Context Protocol server that provides task orchestration capabilities for AI assistants

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration in development environments.

MCP server and a unified TUI for managing dev servers + Playwright

This is the official repo for the Harness MCP server

A Model Context Protocol (MCP) server providing tools for NPM package management and dependency updates. Helps LLMs like Claude interact with npm packages, search npm registry, and keep dependencies up-to-date.

The npm-package-mcp-server allows users to efficiently access and analyze source code from any NPM package. With features like smart file discovery and selective code reading, it streamlines the process for developers. 🐙🌐

Port is a developer portal-native AI that offers AI agents and an MCP server to build software catalogs, enable self-service actions, and connect directly to your IDE for smooth workflows.

This project provides an MCP-compatible interface for the JSONBuddy Core API, enabling JSON validation against schemas via a secure HTTP-based service. The server exposes two endpoints (`/validator/validate` and `/validator/validate-simple`) for flexible schema validation scenarios. MCP clients and AI agents can integrate this API using the included `mcp.json` definition and standard API key authentication.

A Model Context Protocol (MCP) server providing tools for NPM package management and dependency updates. Helps LLMs like Claude interact with npm packages, search npm registry, and keep dependencies up-to-date.

Centralized management of AI tool configurations (rules, commands, MCP servers) with streamlined setup for global and project-specific environments.

CodeCompass: AI-powered Vibe Coding with MCP. Connects Git repositories to AI assistants like Claude, using Ollama for privacy or OpenAI for cloud. Integrates with VSCode, Cursor, and more.

A MCP Server of

This project provides sample MCP servers that can be used with Amazon Q CLI or other MCP-compatible AI assistants

Docker Container with Useful MCP Servers

A platform for managing your local MCP servers

Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.

ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.

An MCP server implementation that integrates the Rhombus API to provide Chatbot tools.

MCP Sniffer captures network traffic between MCP clients and servers and displays it in a web UI.

API 200 is an open source API gateway to simplify 3rd-party integrations. Import endpoints, set up caching, retries, and mocks. Access all services via one URL. Monitor logs, track errors, and get alerts on API incidents.

Klavis AI (YC X25): Open Source MCP integration for AI applications

MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.

A MCP server to allow the LLM in Cursor to access Rust Analyzer, Crate Docs and Cargo Commands.

A comprehensive collection of Model Context Protocol (MCP) servers

Miden MCP server for developers

🚀 OpenClient- The CLI-Based Universal AI Application Connector! An open-source Model Context Protocol (MCP) implementation that turbocharges LLMs by context provisioning standardization. Quickly connect a server of your choice with our client to boost your AI capabilities. Ideal for developers creating next-generation AI applications!

An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant.

MCP-NixOS - Model Context Protocol Server for NixOS resources

aica(AI Code Analyzer) reviews your code using AI. Supports CLI and GitHub Actions.

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

Largest Open Source MCP Server. 285+ tools available as MCPs. You can self-host them or use them on our cloud

A comprehensive collection of Model Context Protocol (MCP) servers categorized by functionality. This repository helps developers and AI enthusiasts discover and utilize the wide array of available MCP servers for various applications.

An MCP server for accessing updated documentation of popular libraries

AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.

🔍 FastMCP-powered documentation search engine that provides unified access to multiple framework docs (Next.js, Tailwind, Framer Motion, etc.) with intelligent name resolution and async processing.

MCP Server implementation for promptz.dev

Your own codebase tools like code semantic search

mcp-reporter is a streamlined utility that generates comprehensive capability reports for Model Context Protocol servers, empowering developers to easily understand available functionality across their MCP servers ecosystem for both documentation and integration into other tools.

📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

MCP DevTools: A suite of Model Context Protocol servers enabling AI assistants to interact with developer tools and services

VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs

Exploring the Model Context Protocol (MCP) through practical guides, clients, and servers I've built while learning about this new protocol.

Swytchcode accelerates API integrations, allowing developers to seamlessly integrate any API using Postman collections or OpenAPI specifications. With Swytchcode, developers can obtain production-ready code in their preferred programming language, reducing integration time by up to 90%. The Swytchcode platform supports code generation for over 80 APIs, with the capability to add more APIs on demand. This streamlined approach empowers developers to focus on innovation rather than tedious integration tasks. Key Features: API Support: Integrates with 80+ APIs, including popular fintech services like Stripe, PayPal, and Shopify. Code Generation: Produces code in multiple programming languages, ensuring compatibility with various development environments. On-Demand API Addition: Allows developers to request support for additional APIs as needed.

The semantic layer for software engineering: Connect code to meaning, build on understanding

Mirror of

An Developer Log MCP server for use with Cline, Roo Code, or other agentic AI tools.

A Model Context Protocol server providing LLM Agents with system utilities and tools, including IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.

Mirror of

Mirror of

Mirror of

🔍 MCP server that lets you search and access Svelte documentation with built-in caching

Run & Manage Long Processes - install, scrap, encode video, compile Search & Read & Edit files - including diff editing for speed and precision

AI-powered code search MCP server using Exa API for intelligent code search and retrieval in AI assistants