#development

⏩ 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

Open-source AI Agent for VS Code and JetBrains that autonomously solves coding tasks end-to-end.

WebsitePublisher.ai MCP server provides 44+ tools for complete website publishing. Create and update pages, upload assets, manage dynamic data entities, configure contact forms, handle integrations, and publish to production — all through MCP. Supports Claude Desktop, Cursor, Windsurf, GitHub Copilot Studio, Mistral/Le Chat, Smithery, and all MCP-compatible clients. OAuth 2.1 with PKCE. Streamable HTTP + SSE transports supported.

MCP server for The Game Crafter's print-on-demand platform. Browse component catalogs, create game projects, add card decks and boards, upload artwork, and get instant pricing estimates.

Local MCP server that gives AI agents eyes and hands on running Uno Platform apps. Agents can capture screenshots, inspect the visual tree, simulate pointer clicks, type text, send key presses, invoke automation peer actions, and query DataContext, enabling agentic UI development and testing across WebAssembly, iOS, Android, macOS, and Linux. Works with Visual Studio Copilot, VS Code, Claude Code, Codex, and any MCP-compatible agent

Connect Claude Code and other AI agents to Mockmail via the Model Context Protocol (MCP). Automatically test, verify, and debug emails during development without the risk of sending messages to real customers.

Professional MCP Server custom development & search ranking growth service. We build MCPs and make AI find them.

MCP bridge that connects AI coding assistants to the Unreal Engine 5 editor. Create materials, blueprints, spawn actors, manage data tables, profile performance, and 100+ more tools — all through natural language. Works with Claude Code, Cursor, VS Code, Gemini, Windsurf, JetBrains, Zed, and Amazon Q. Install with: pip install unrealmcp

Connect AI coding agents to a live Roblox Studio session. Create and edit scripts, instances, terrain, lighting, assets, audio, and animation with natural language.

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

A Model Context Protocol (MCP) server that enables AI assistants to manage persistent SSH sessions and execute commands on remote servers.

Unofficial Apidog MCP server, that gives ability to work with testing features of ApiDog.

Control Unity Editor from AI agents. 200+ MCP tools for GameObjects, Scenes, Assets, Materials, Prefabs, Terrain, Physics, Lighting, and more. Works with Claude, Cursor, Windsurf, VS Code Copilot — any MCP client. Zero config: just npx and go.

Connect your favorite AI Chat to your Godot project! Download the addon from the official Godot Asset Store, add the server to your MCP in the AI chat settings, restart your AI chat, restart your Godot project and you're good to go! check out the Github page: https://github.com/tomyud1/godot-mcp chat with me on Discord: Tomyud#6595

Fast semantic code search for AI agents — find symbols, references, and callers across any codebase. Pre-built index committed to git, instant queries via MCP

WebsitePublisher.ai MCP server provides 44+ tools for complete website publishing. Create and update pages, upload assets, manage dynamic data entities, configure contact forms, handle integrations, and publish to production — all through MCP. Supports Claude Desktop, Cursor, Windsurf, GitHub Copilot Studio, Mistral/Le Chat, Smithery, and all MCP-compatible clients. OAuth 2.1 with PKCE. Streamable HTTP + SSE transports supported.

The DHTMLX MCP Server gives AI coding assistants real-time access to up-to-date DHTMLX documentation, preventing outdated API suggestions and ensuring awareness of the latest features. It supports all major DHTMLX products, including Gantt, Scheduler, Suite, Diagram, and other UI components.

Turn AI conversations into live apps. Describe what you need, and AppDeploy deploys a real, full-stack app. From idea to live app in minutes, without touching infrastructure.

Model Context Protocol (MCP) server for Kinsta WordPress hosting

AI coding agents excel at the Build phase of a web app, but struggle with the Verify phase. Squidler is designed to validate your web app as a human based on natural language use cases, and without write brittle, DOM-dependent tests. With the Squidler MCP server you enable you AI coding agents, like Cursor, Claude Code, Replit, Lovable etc to work with Squidler. This means that you can have your coding agent build a feature, describe the use case in natural language for Squidler, ask Squidler to test it, to get the details of how the test run went, and details of all problems or friction that were found when using your web app.

Spec Oxide is a comprehensive workflow and toolset that enables spec-driven development for AI-assisted coding with Claude Code. You agree on what to build before any code is written. Spec Oxide ships a CLI and an MCP server to list and manage specifications as Markdown files as well as change proposals. A built-in search functionality finds the relevant spec files to avoid loading too many files into the Claude Code context window.

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.

Build, test, debug, and interact with desktop and mobile applications with the Tauri framework. Screenshots, DOM state, and console logs from your running app give the AI rich context to understand what's happening—and tools to interact with it.

The Stack Overflow Model Context Protocol (MCP) enables AI tools and agents to access trusted developer knowledge from Stack Overflow. It standardizes how knowledge is exposed, discovered, and retrieved for use in agent workflows and developer environments.

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

Magic-API MCP Server - A Model Context Protocol server for Magic-API development

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.

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.

MCP server for Roll Docker Stack and multi-framework development environments.

An AI-powered development workflow MCP server that guides you from requirements to code implementation. Features Complete Development Workflow: From goal collection to task execution AI-Powered Guidance: Step-by-step instructions for each development phase Template-Based: Uses proven templates for requirements, design, and tasks Claude Integration: Seamlessly integrates with Claude Code Installation

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

Enables AI agents to compile code and run tests in Unity Editor.

Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.

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.

MCP server for session continuity and sandbox safety in LLM development workflows. Provides "pick up exactly where you left off" + "never break the main app" functionality.

For MCP Server Development

This repository provides a tool for converting SVG files into various font formats, streamlining icon management. With features like automatic CSS generation and TypeScript support, it simplifies the process for developers. 🐙🌟

Trying things realted to MCP server

🧪 Official MCP Server for Debugg AI AI-driven browser automation and E2E test server implementing the Model Context Protocol (MCP), designed to help AI agents test UI changes, simulate user behavior, and analyze visual outputs of running web applications — all via natural language and CLI tools.

Complete development environment setup for Claude Code with MCP servers, dev containers, and long-running job capabilities

how to develop mcp server and debugging from local to azure

🎨 MCP Server that converts SVG icons into web fonts with CSS and TypeScript support. Generate icon fonts from directories of SVG files.

This is a collection of example MCP Servers for development.

MCP server code for context-mcp

A comprehensive NixOS Flake development environment for the Playwright MCP (Model Context Protocol) server with full Chrome and Firefox support, including persistent browser profiles.

AWS MCP Servers — specialized MCP servers that bring AWS best practices directly to your development workflow

An MCP server that provides filesystem access to Claude desktop

Model Context Protocol server for Rust development tools (clippy, rustfmt, cargo check, cargo test)

A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.

A Sui blockchain MCP service for development

GitHub MCP server test repository

MCP server and AI agents

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 repository for practicing MCP Server develop

Cursor AI SSOT & Rule Engine Template: A comprehensive framework for integrating Cursor AI's advanced features into any project. Includes Single Source of Truth (SSOT) tracking, custom project rules, and Model Context Protocol (MCP) with Knowledge Graph for intelligent context management.

Repository for MCP Server development

This MCP server allows AI to use a number of functions from the Liveblocks REST API. For example, it can create, modify, and delete different aspects of Liveblocks such as rooms, threads, comments, notifications, and more. It also has read access to Storage and Yjs.

Quickstart mcp for server developer

Zero setup to use Code Runner MCP Server in VS Code for running code snippet and show the result.

MCP server for Payload CMS 3.0, designed to help developers validate code, generate templates, and scaffold projects following best practices.

Website Generator enables AI to create complete, editable websites from simple prompts, returning links to view and customize the site without requiring technical expertise.

ARC Model Context Protocol (MCP) Server: AI-Powered Development using the ARC framework.

First MCP Server

Fresh Monite MCP Server installation for Cline

esp-mcp-server

Trying MCP server creation

Building custom MCP server

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

A curated collection of top Model Context Protocol (MCP) servers for enhancing development workflows in 2025

MCP server to build UI

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

AI-powered cloud development with AWS MCP Servers

Custom Model Context Protocol (MCP) Server that provides AI-powered tools to assist game developers in tasks related to combat balancing, skill analysis, level pacing, and simulation.

MCP server for AI-boosted development in VS Code DevContainers.

Model Context Protocol (MCP) Server for the JFrog Platform API, enabling repository management, build tracking, release lifecycle management, and more.

AI 기반 개발 MCP 서버

AI 기반 개발 MCP 서버

AI 기반 개발 MCP 서버

AI 기반 개발 MCP 서버

🐇 Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction capabilities

The Simple Agent Development Kit.

用于收集常用的MCP工具和学习MCP server开发

MCP Server + Plugin for Unity Editor and Unity game. The Plugin allows to connect to MCP clients like Claude Desktop or others.

MCP server for scanning local code and localhost URLs

creating ui for mcp servers.

mcp server

Development repository for MCP (Managed Communication Protocol) server

React application for MCP server test

Mirror of

MCP for Unreal Engine 5