MCP Servers
64,768 MCP servers for AI apps. Filter by category, badge and popularity.
Developer Tools
Turn a plain-English prompt into a publication-ready chart image. ChartForge's MCP server lets Claude generate, refine, and export bar, line, pie, scatter, and more chart types as PNG — powered by AI. Includes 7 free generations, no setup beyond an API key.
This project exposes the powerful Chepy data transformation library as an MCP server. It allows you to access Chepy's tools (like encoding, decoding, and data manipulation) via a single flexible API: the bake pipeline tool, inspired by CyberChef
Structured knowledge base of AI agent solutions. Search build logs, explore stack-based recommendations, and retrieve verified solutions via semantic search. Remote MCP server with four tools: search_solutions, get_solution, explore, list_stack_tags. Optional Bearer auth for full access.
NVIDIA AI developer stack as a Compressed Knowledge Graph — 20 domains, 998 nodes, every prerequisite chain declared as typed edges. Agents traverse REQUIRES/ENABLES relationships instead of scanning docs. 4× F1 vs RAG, 11× fewer tokens. No API key required.
Rami reviews every pull request for the bugs, logic errors, and risky patterns that AI coding agents commonly leave behind. When it flags something, your agent — Claude Code, Cursor, or Codex — fetches the finding over MCP, fixes it, and pushes; Rami re-reviews until those issues
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
