Identify related documentation files by analyzing metadata from a specified project path and document file to enhance knowledge retrieval and organization.
Locate specific content within a document by entering a document ID and search query. Retrieve formatted results with relevant context for efficient document analysis.
Rename a document within the MCP Documentation Service without altering its content or location. Optionally updates references to the document in related files for consistency.
Discover documents with similar content to a specific Outline wiki document using semantic analysis. Identify related information to enhance research and content organization.
A Model Context Protocol server that enables intelligent searching across documentation for 30+ programming libraries and frameworks, fetching relevant information from official sources.
A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.