An MCP server that enables searching and retrieving content from Confluence documentation systems, providing capabilities for both document searches and full page content retrieval.
A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
A Model Context Protocol (MCP) server that scrapes, indexes, and searches documentation for third-party software libraries and packages, supporting versioning and hybrid search.
Toolset that crawls websites, generates Markdown documentation, and makes that documentation searchable via a Model Context Protocol (MCP) server for integration with tools like Cursor.
An MCP server that crawls API documentation websites and exposes their content to AI models, enabling them to search, browse, and reference API specifications.
An MCP server that integrates with Claude to provide smart documentation search capabilities across multiple AI/ML libraries, allowing users to retrieve and process technical information through natural language queries.