MCP Servers
63,654 MCP servers for AI apps. Filter by category, badge and popularity.
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Structural graph memory for AI coding assistants. repo-graph maps your codebase entities, relationships, and feature flows so the model navigates to the right files instead of reading everything first. Tree-sitter, 20+ languages, frontend to backend and more, any MCP client.
MCP server for pdfmux — the only PDF extractor that audits every page. Ranked #2 on opendataloader-bench (200 real-world PDFs). 5 tools: get_pdf_metadata, convert_pdf, analyze_pdf, batch_convert, extract_structured. Zero GPU, zero API keys, zero cost. Give AI agents reliable PDF reading.
Manage your RunPod cloud resources directly through an MCP-compatible client. Create, list, update, start, stop, and delete pods, serverless endpoints, templates, network volumes, and container registry authentications with ease. Streamline your RunPod operations using natural la
MCPHub is an embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and Autogen frameworks through a unified interface. Simplifies configuration, setup, and management of MCP tools across different AI applications
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.
