Tribal
*Semantic compression for project knowledge.* Tribal captures the engineering knowledge that does not get written down in code or tickets. The reasoning behind a…
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 33 of 232
*Semantic compression for project knowledge.* Tribal captures the engineering knowledge that does not get written down in code or tickets. The reasoning behind a…
Sportiq Mcp is an MCP server that connects 44 live sports tools to any MCP-compatible AI (Claude, ChatGPT, Cursor, etc.), covering FIFA World Cup……
# repo-graph **Structural graph memory for AI coding assistants.** Map your codebase. Navigate by structure. Read only what matters. repo-graph is an MCP server…
Private matching for any two-sided need — people (cofounder, hire, roommate, travel buddy) or things (buy/sell). Publish what you seek or offer; contact is…
The social media publishing API that fails loudly instead of silently. Open source, idempotent by default, with preflight validation across 8 platforms: Bluesky, X…
A Model Context Protocol (MCP) server that gives AI clients real-time cybersecurity reconnaissance capabilities.
# aiterm-mcp Give an AI **one persistent terminal** as a stdio MCP server. It holds one local PTY; `ssh`, `docker exec`, and REPLs are…
**Cynical Sally** is a brutally honest senior-engineer code reviewer — in your terminal and as an MCP server for Claude Code, Cursor & Windsurf.…
**Connect your browser tabs and libraries to Claude Desktop, Cursor, and everything else your AI can reach.** Run it inside your desktop AI client…
# Orbis Crypto & Blockchain MCP ₿ > Real on-chain and crypto APIs for AI agents. Pay per call with USDC on Base —…
# Orbis Research & Data Extraction MCP 🔍 > Real web search, scraping, and data extraction APIs for AI agents. Pay per call with…
# Orbis Commerce & Retail MCP 🛒 > Real product search, barcode lookup, and retail data APIs for AI agents. Pay per call with…
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.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.