Discover our curated collection of MCP servers for developer tools. Browse 12982servers and find the perfect MCPs for your needs.
Fetches up-to-date documentation and code examples for LLMs and AI code editors directly from the source.
Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Enables advanced automation and interaction capabilities with GitHub APIs for developers and tools using the Model Context Protocol.
Automates browser interactions for Large Language Models (LLMs) using Playwright.
Conducts in-depth web and local research on any topic, generating comprehensive reports with citations.
Streamline AI-driven development workflows by automating task management with Claude.
Empowers AI coding agents with a comprehensive and structured software development workflow, from design refinement to TDD-driven implementation.
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
Facilitates the creation of Model Context Protocol (MCP) servers with a Pythonic interface.
Provides coding agents with programmatic access to Chrome DevTools for comprehensive browser control, inspection, and debugging.
Turns an LLM into a coding agent that works directly on your codebase by providing semantic retrieval and editing capabilities.
Integrates AI capabilities with draw.io diagrams to create, modify, and enhance visualizations using natural language.
Facilitates spec-driven development to ensure alignment between humans and AI coding assistants before any code is written.
Connects Blender to Claude AI, enabling prompt-assisted 3D modeling, scene creation, and manipulation.
Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base.
Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability.
Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.
Create and manage high-performance macOS and Linux virtual machines on Apple Silicon, with built-in support for AI agents.
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