Browse All MCP Servers
Explore our complete collection of MCP servers to connect AI to your favorite tools.
Vet
Analyzes software composition for vulnerabilities and malicious packages using policy-as-code.
Deep Dive Into AI
Provides educational resources for learning AI, machine learning, and deep learning using PyTorch and Apple's MLX frameworks.
Mcpdoc
Exposes LLM documentation defined in llms.txt files to IDEs for improved context retrieval and auditability.
Postgres Pro
Supports developers and AI agents throughout the entire Postgres development process, from initial coding to production tuning.
Vue Mcp
Provides a server enabling models to better understand Vue applications by exposing the component tree, state, routes, and Pinia data.
Just Prompt
Provides a unified interface to multiple Large Language Model (LLM) providers, simplifying interaction with services like OpenAI, Anthropic, and Google Gemini.
Crawl4AI RAG
Empowers AI agents and coding assistants with web crawling and retrieval-augmented generation (RAG) capabilities.
Mcp Link
Converts APIs described by OpenAPI specifications into MCP-compatible interfaces for seamless integration with AI agents.
IDA
Enables interaction and automation of IDA Pro with Large Language Models via a Model Context Protocol server.
Unity
Enables seamless integration between the Unity Editor and AI assistants through the Model Context Protocol.
Pg-Mcp
Exposes PostgreSQL databases to AI agents via the Model Context Protocol, offering rich schema discovery and query capabilities.
AI Prompts
Collects and shares AI prompts, best practices, and curated rules to enhance developer workflows within AI-assisted coding tools.
Fetch
Fetches and transforms web content into various formats.
Coco AI
Unifies enterprise search and collaboration by connecting applications and data into a single interface.
OpenAPI Tool Servers
Provides reference OpenAPI Tool Server implementations for integrating external tooling and data sources into LLM agents and workflows.
Create Python
Quickly scaffolds Python projects for Model Context Protocol (MCP) servers.
Mcp-get
Installs and manages Model Context Protocol (MCP) servers for seamless integration between LLM applications and external data sources.
Deepwiki
Fetches and converts Deepwiki content to Markdown for use in code editors and other MCP-compatible clients.
Bash SDK
Provides a lightweight, zero-overhead implementation of the Model Context Protocol (MCP) server directly in Bash.
OpenSearch Python Client
Enables interaction with OpenSearch clusters using Python.
Android Control
Programmatically controls Android devices via ADB, exposing management capabilities to MCP clients.
Neo4j
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
Filesystem
Provides filesystem operations through the Model Context Protocol, enabling read/write access and directory management.
Memory Bank
Provides remote access to memory bank files via the Model Context Protocol (MCP).
Gmail AutoAuth
Enables AI assistants to manage Gmail through natural language interactions with auto authentication support.
GuMCP
Unifies Model Context Protocol (MCP) servers with a consistent backend for local and remote AI integrations.
Jupyter
Enables interaction with Jupyter notebooks running in a local JupyterLab environment through the Model Context Protocol (MCP).
Obsidian
Enables AI assistants to interact with Obsidian vaults for note and tag management.
MetaMCP
Manage and unify multiple MCP server integrations through a single GUI application.
Model Context Protocol for Beginners
Provides an open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) through practical code examples.
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