MCP Servers
The open registry for Model Context Protocol servers. Find the right tools, resources, and prompts for your AI agents — filtered by category, transport, or use case.
Servers
206
Tools
545
Categories
11
Contributors
182
LlamaIndex's official MCP server for LlamaCloud, letting agents query managed retrieval indexes and extract structured data from documents. Each configured index is exposed as its own tool, so an assistant can run semantic search over a specific knowledge base and pull parsed fields out of PDFs and other files.
A self-hosted MCP server that gives AI assistants persistent, searchable long-term memory built on Mem0. Stores facts and preferences across sessions, retrieves them by semantic search, and can back memories with a Neo4j knowledge graph plus smart chunking, so an agent keeps useful context between conversations instead of starting cold.
Skills vs MCP servers
what’s the difference?Skillsthe “what to do”
A skill packages know-how — instructions, an example prompt, and recommended models — so an agent performs a task consistently. Skills add knowledge, not new connections.
MCP serversthe “how to connect”
An MCP server gives an agent new capabilities by connecting it to real systems (databases, APIs, files) over a transport. MCP adds connections and actions, not task instructions.
Rule of thumb: reach for a skill when you need the model to do a task well, and an MCP server when you need it to reach a tool or system. They compose — a skill can rely on tools an MCP server provides.
Built an MCP server?
Submit it to the registry — it’s open source and community-maintained.