Find relevant documentation information using natural language queries. Search across stored documentation sources to locate specific details, code examples, or related content with ranked results.
Identify related documentation files by analyzing metadata from a specified project path and document file to enhance knowledge retrieval and organization.
Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.
Find relevant information across stored documentation using natural language queries. Returns ranked excerpts with context for specific details, code examples, or related documentation.
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.
Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.