Browse All MCP Servers
Explore our complete collection of MCP servers to connect AI to your favorite tools.
Cloud Run
Enables MCP-compatible AI agents to deploy applications to Cloud Run.
Code Index
Index, search, and analyze code repositories with large language models using a Model Context Protocol server.
FedRAMP Automation
Automates the creation and validation of FedRAMP Security Authorization Packages using NIST's OSCAL standard.
LinkedIn Scraper
Enables interaction with LinkedIn through AI assistants, allowing users to scrape profiles, companies, and jobs.
K8s Go
Connects to Kubernetes, providing a Model Context Protocol (MCP) server for interacting with Kubernetes resources.
AI Tools for Devs
Enables agentic AI workflows for developers using Docker containers and Markdown prompts.
Tfmcp
Enables AI assistants to manage and operate Terraform environments through the Model Context Protocol (MCP).
Llm Bridge
Connects Model Context Protocol (MCP) servers to OpenAI-compatible LLMs.
Codefetch
Converts code into Markdown format for use with Large Language Models (LLMs) through a simple terminal command.
Vercel Adapter
Provides an adapter for the Model Context Protocol (MCP), enabling real-time communication between web applications and AI models on frameworks like Next.js.
Baidu Maps
Provides a set of MCP-compatible APIs for accessing Baidu Maps functionalities, including geocoding, place search, route planning, and more.
Apify Actors
Enables AI applications to use Apify Actors as tools for performing specific tasks like data extraction and web scraping.
Rails
Enables Large Language Models to interact with Rails projects through the Model Context Protocol.
Sentry
Acts as a middleware MCP server to interact with the upstream Sentry API provider via LLMs.
PaellaDOC
Provides an AI-first development framework that uses the Model Context Protocol (MCP) to enable Large Language Models (LLMs) to interact with development tools and context.
Ai Development Assistant
Provides intelligent coding assistance through custom AI tools directly within Cursor's Composer.
YouTube
Enables AI language models to interact with YouTube content through a standardized interface for video and channel management, transcript retrieval, and advanced analytics.
Paws-on
Serves as a comprehensive Model Context Protocol implementation for advanced AI model interaction and data integration.
Chroma
Provides a Model Context Protocol (MCP) server implementation with database capabilities powered by Chroma for LLM applications.
Client Chatbot
Provides a versatile chat interface that supports various AI model providers and integrates external tools via Model Context Protocol.
MCPSharp
Enables building Model Context Protocol (MCP) servers and clients in .NET for AI assistant integration.
Linear
Integrates Linear project management with the Model Context Protocol to enable LLM interaction with Linear issues.
Apple Doc
Provides seamless access to Apple Developer Documentation directly within AI coding assistants, featuring smart search and wildcard support.
Obsidian Tools
Enables Obsidian to integrate with AI applications through the Model Context Protocol.
E2B
Enables Claude to execute code using E2B sandboxes via the Model Context Protocol.
Godot
Integrates the Godot Engine with AI assistants for enhanced game development workflows.
MotherDuck
Enables SQL analytics capabilities for Claude by integrating MotherDuck and local DuckDB.
Opencoder
Provides a local, open-source coding assistant experience similar to Claude Code, leveraging the Vercel AI SDK.
Ableton Live
Enables control of Ableton Live via the Model Context Protocol (MCP) using OSC (Open Sound Control).
Minecraft
Enables AI assistants to control a Minecraft character for tasks like building, exploration, and interaction through natural language.
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