Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.
Enables seamless integration between the Unity Editor and AI assistants through the Model Context Protocol.
Enables Claude Desktop to interact with task management data in the Things app.
Automates browser interactions through Puppeteer for both new and existing Chrome instances.
Empowers LLM agents with intelligent project and task management by leveraging a Neo4j graph database and the Model Context Protocol.
Enables large language models to interact with and manage Obsidian vaults through a secure and standardized Model Context Protocol interface.
Enables interaction with Google Workspace products such as Gmail and Calendar.
Enables SQL analytics capabilities for Claude by integrating MotherDuck and local DuckDB.
Implements strategic pattern interrupts in AI workflows to prevent cascading errors and tunnel vision.
Manage Docker containers and compose stacks through natural language with Claude AI.
Manages and monitors multiple Model Context Protocol (MCP) servers from a central location.
Enables AI agents to fully control remote macOS systems without requiring additional software installation.
Empowers LLMs with real-time network traffic analysis using Wireshark's tshark.
Facilitates biomedical research by providing an open-source toolkit for AI assistants and agents to search and retrieve data on clinical trials, PubMed articles, and genomic variants.
Enables interaction with OpenSearch clusters using Python.
Quickly scaffolds Python projects for Model Context Protocol (MCP) servers.
Execute AppleScript code from a server to control macOS applications and data.
Enables communication between Roblox Studio and Claude Desktop via a plugin, allowing LLMs to interact with and modify the Roblox environment.
Enables AI assistants to directly read, edit, and format Google Docs.
Combines search and Large Language Models (LLMs) to generate insights from your data using Retrieval Augmented Generation (RAG).
Enables seamless interaction between users, web agents, and browsers by recording and replaying browser actions.
Automates and simplifies diverse research workflows by integrating large language models with web search, social media, mapping, and code exploration.
Manage and automate YouTube resources through a command-line interface or a Model Context Protocol (MCP) server.
Integrates MATLAB functionality directly into AI applications, enabling AI agents to control, execute, and analyze MATLAB code.
Empowers AI agents like Claude to autonomously trade, analyze, and manage positions on Polymarket prediction markets with an extensive toolset.
Provides AI agents with up-to-date, curated technical documentation to prevent hallucinations and improve coding accuracy.
Provides unified access to over 30 AI models within Claude Code, eliminating API keys and enabling pay-per-request micropayments.
Provides an architectural intelligence layer for AI coding agents, offering structural graph analysis, architecture governance, and multi-agent orchestration.
Enables AI agents to directly interact with web applications using your browser's existing authenticated sessions via internal APIs.
Empower AI agents with custom skills by providing sets of tools, prompts, and configurations through portable playbooks.
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