Komnet
Git-backed message bus for AI coding agents — Claude Code, Cursor and Codex coordinate asynchronously, with no server.
MCP Servers
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2781 servers · Page 187 of 232
Deskwright
An AI agent uses a real GNOME/Wayland desktop - pressing actual widgets, not guessing at pixels - optionally on an invisible second GNOME session…
Ozon Mcp Server
MCP server for the Ozon Seller & Performance API: 156 tools for prices, promotions, ads, orders, returns, finance and analytics.
Cli
Cli MCP Server: Command-line interface for Signadot.
Hello World MCP Server (Reference Extension)
Desktop Extensions: One-click local MCP server installation in desktop apps
Google Images
MCP server for Google Images: image search with size, colour and type filters, 100 results a call with the source page and the full-resolution…
Shopify
MCP server for Shopify storefronts: pull the public product catalogue and collections of any store by URL, with variants, SKUs and prices. 2 tools…
Airbnb
Airbnb MCP server by HasData: search stays and read full listing details, as JSON. 2 tools, with
Quantcontext Mcp Server
QuantContext is an MCP server that gives AI agents real quant computation for better trading: stock screening, strategy backtesting, and factor… 3 tools, with
Profitplay Starter
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order.
Gemini Media
Unified Go MCP server for AI media generation via Google Gemini API and Vertex AI. 14 tools, with
Sessionmem
Local-first MCP memory layer for AI coding assistants; persistent cross-session memory, stored entirely on your machine.
MCP Servers FAQ
What is an MCP server?
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
How do I install an MCP server?
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
What should I check before installing one?
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.