puremd MCP server

Enables AI assistants to access and interact with YouTube API using Model Context Protocol, providing video and channel search, detailed information retrieval, and popular video listings for seamless integration and up-to-date content access.

Enables seamless integration of LLM applications with OpenSearch by providing a Model Context Protocol server that stores and retrieves semantic memories as a context layer for enhanced AI workflows and search capabilities.

Enables Model Context Protocol clients to fetch web content, convert HTML to markdown, and save it locally for persistent access and processing, supporting customizable user-agent, proxy, and robots.txt compliance.

Enables seamless integration between LLM applications and documentation sources via the Model Context Protocol, providing access to LangGraph and MCP documentation files with tools to fetch and utilize relevant content securely.

Enables seamless interaction with Wizzypedia APIs via Model Context Protocol, offering read-only access to search, view, and retrieve wiki pages and history, plus authenticated capabilities to create and update wiki content.