Developer Tools MCP Servers
Discover our curated collection of MCP servers for developer tools. Browse 15055servers and find the perfect MCPs for your needs.
Docs Service
Manages markdown documentation with frontmatter, optimized for AI assistant integration.
X Integration
Enables interaction with X (formerly Twitter) for retrieving tweets, creating new posts, and replying to existing ones.
DuckDB Knowledge Graph Memory
Provides a Model Context Protocol (MCP) memory server with a DuckDB backend for knowledge graph storage and retrieval.
MSSQL
Enables secure and structured interaction with Microsoft SQL Server (MSSQL) databases for AI assistants.
Mcp-Flowise
Integrates Flowise chatflows and assistants into the Model Context Protocol (MCP) ecosystem, enabling dynamic tool registration and simplified configurations.
User Feedback
Enables human-in-the-loop workflows in tools like Cline and Cursor by providing a simple MCP server.
Azure DevOps
Integrates Azure DevOps with the Model Context Protocol (MCP) server, providing access to work items, repositories, projects, boards, and sprints.
Azure AI Agents
Connects Claude Desktop to Azure AI Search capabilities through a Model Context Protocol (MCP) server.
Swift GUI
Controls macOS via mouse movements, clicks, keyboard input, and scrolling through MCP clients.
Fast LLM & Agents
Provides practical examples and theoretical concepts for developing LLM-powered agents and multi-agent systems using tools like Google ADK.
React Analyzer
Analyzes React code and generates documentation locally using the Model Context Protocol.
Office
Automates Microsoft Office applications via AI models using a COM interface on Windows.
SymPy
Enables language models to perform symbolic mathematics and computer algebra through tool-calling.
Swagger Gateway
Transforms OpenAPI/Swagger specifications into Model Context Protocol (MCP) format, enabling AI assistants to interact with REST APIs through a standardized protocol.
Talkito
Enables developers to interact with AI systems through speech across multiple channels, functioning as both a command-line tool and a Python library.
DAP Server
Enables AI agents to debug live programs by bridging Model Context Protocol clients with Debug Adapter Protocol servers.
Context Optimizer
Optimizes context for AI coding assistants by enabling them to extract targeted information from files and command outputs, rather than processing large data in its entirety.
Frida
Facilitates Android dynamic analysis for AI models by integrating with the Frida toolkit.
Sugar
Automates software development tasks by continuously delegating work to autonomous AI agents, building features, fixing bugs, and shipping code.
GDAL
Empowers AI agents with GDAL-style geospatial catalog discovery, metadata intelligence, and raster/vector processing, incorporating built-in reasoning guidance.
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