ArcKnowledge is a FastMCP server that bridges AI assistants to custom knowledge base API webhooks, enabling retrieval-augmented generation (RAG) capabilities. Built with Python using the FastMCP framework, it manages multiple knowledge sources through a configurable JSON structure, supports both text and image queries, and handles API authentication. The implementation provides tools for querying knowledge bases, managing document sources, and processing images, making it particularly useful for applications requiring access to specialized knowledge repositories, custom RAG implementations, or multi-source information retrieval with visual context support.
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Registers a new document source URL, optionally with a description and API key. Returns: Confirmation message with the new source ID.
Lists all registered document sources. Returns: Dictionary mapping source IDs to their details (URL, description, API key).
Queries specified document sources (or all if none specified) with a text query and optional image data. Returns: Aggregated results from the queried sources.
Register a new document source URL for RAG operations.
List all registered document sources.
Query the specified document sources using RAG.
Process a POST request with a query payload.
