Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.
Connects Blender to Claude AI, enabling prompt-assisted 3D modeling, scene creation, and manipulation.
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Automates browser interactions for Large Language Models (LLMs) using Playwright.
Exposes FastAPI endpoints as Model Context Protocol (MCP) tools with zero configuration.
Facilitates the creation of Model Context Protocol (MCP) servers with a Pythonic interface.
Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Connects APIs and automates workflows with a low-code platform designed for developers.
Enables advanced automation and interaction capabilities with GitHub APIs for developers and tools using the Model Context Protocol.
Create and manage high-performance macOS and Linux virtual machines on Apple Silicon, with built-in support for AI agents.
Conducts in-depth web and local research on any topic, generating comprehensive reports with citations.
Turns an LLM into a coding agent that works directly on your codebase by providing semantic retrieval and editing capabilities.
Reach inbox zero quickly with this open-source AI email assistant and client.
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Streamline AI-driven development workflows by automating task management with Claude.
Fetches up-to-date documentation and code examples for LLMs and AI code editors directly from the source.
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
Provides an open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) through practical code examples.
Connects AI assistants to n8n's vast library of workflow automation nodes, enabling AI to discover, understand, and build complex workflows efficiently.
Exposes Chrome browser functionality to AI assistants for complex browser automation, content analysis, and semantic search.
Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base.
Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.
Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability.
Provides coding agents with programmatic access to Chrome DevTools for comprehensive browser control, inspection, and debugging.
Provides a lightweight memory system for coding agents through a graph-based issue tracker.
Aggregates trending topics from over 35 platforms, offering intelligent filtering, automated multi-channel notifications, and AI-powered conversational analysis for deep news insights.
Facilitates spec-driven development to ensure alignment between humans and AI coding assistants before any code is written.
Empowers AI coding agents with a comprehensive and structured software development workflow, from design refinement to TDD-driven implementation.
Orchestrates multiple AI models to enhance CLI tools for collaborative development, code analysis, and problem-solving.
Integrates AI capabilities with draw.io diagrams to create, modify, and enhance visualizations using natural language.
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