Discover MCP Servers and Clients
Explore and discover Model Context Protocol servers and clients for various applications and platforms
Featured MCP Servers
Our selection of top Model Context Protocol servers for AI integration
Latest MCP Servers
Recently added Model Context Protocol implementations to our collection
moshopserver
🦀 RustA simple,high performance and secure live media server in pure Rust (RTMP[cluster]/RTSP/WebRTC[whip/whep]/HTTP-FLV/HLS).🦀
MCP Google Sheets
🐍 PyNo description available
Anilist MCP
📘 TSAniList MCP server for accessing AniList API data
Prometheus MCP Server
🐍 PyA Model Context Protocol (MCP) server that enables AI assistants to query and analyze Prometheus metrics through standardized interfaces.
AWS MCP Server
🐍 PyA lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.
Mindmap MCP Server
🐍 Pymindmap, mcp server, artifact
Alibabacloud Tablestore MCP Server
☕️ JavaNo description available
MCP Googletasks
📘 TSNo description available
MCP Claude Code
🐍 PyMCP implementation of Claude Code capabilities
MCP K8S Eye
🔹 GoMCP Server for kubernetes management and analyze workload status
Airtable MCP
🐍 PyAirtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.
ServeMyAPI
📘 TSNo description available
Vrchat MCP
📘 TSThis project is a Model Context Protocol (MCP) server for interacting with the VRChat API.
Heurist Mesh MCP Server
🐍 PyNo description available
Xiyan MCP Server
🐍 PyA Model Context Protocol (MCP) server that enables natural language queries to databases
Mac Messages MCP
🐍 PyAn MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
Official MCP Servers
Officially recognized Model Context Protocol server implementations
MCP Server Cloudflare
📘 TSNo description available
Video Editing MCP
🐍 PyMCP Interface for Video Jungle
Nostr MCP
📘 TSA Nostr MCP server that allows to interact with Nostr, enabling posting notes, and more.
OpenDataMCP
🐍 PyConnect any Open Data to any LLM with Model Context Protocol.
MCP Server Laptic
📘 TSModel Context Protocol server for interacting with iaptic
MCP Everything Search
🐍 PyNo description available
Markdownify MCP
📘 TSA Model Context Protocol server for converting almost anything to Markdown
Heurist Mesh MCP Server
🐍 PyNo description available
Web Search
📙 JSWeb search using free google search (NO API KEYS REQUIRED)
MCP Claude Code
🐍 PyMCP implementation of Claude Code capabilities
Docker MCP
🐍 PyA docker MCP Server (modelcontextprotocol)
Rootly MCP Server
🐍 PyRootly MCP server
MCP Jetbrains
📙 JSA model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
Openapi MCP Server
📙 JSAllow AI to wade through complex OpenAPIs using Simple Language
MCP Text Editor
🐍 PyNo description available
Mongo MCP
📘 TSA mongo db server for the model context protocol (MCP)
Featured MCP Clients
Our selection of top Model Context Protocol clients for AI applications
Latest MCP Clients
Newest Model Context Protocol client applications in our library
The Ultimate MCP Directory
Welcome to MCP Store, the central repository for Model Context Protocol (MCP) implementations. Our platform helps developers discover high-quality MCP servers and clients to enhance AI capabilities through standardized interfaces and contextual services.
The Model Context Protocol enables AI models to securely interact with local and remote resources, extending their capabilities through file access, database connections, and API integrations. Browse our curated collection of MCP servers and clients to find the perfect solution for your AI applications.
Why Use MCP?
Enhanced AI Capabilities
MCP servers extend AI models with contextual awareness, enabling them to interact with databases, file systems, and external services.
Standardized Integration
The Model Context Protocol provides a consistent interface for AI applications, simplifying development and maintenance.
Secure Interactions
MCP implementations follow security best practices, allowing AI models to safely access resources through controlled interfaces.
Want to Add Your MCP Implementation?
If you have created an MCP server or client implementation, share it with the Model Context Protocol community to increase visibility and adoption.