The KB-MCP-Server is a Python implementation of a Model Context Protocol server designed to interact with knowledge bases. Developed by Geeksfino, it provides a structured way for AI assistants to query and retrieve information from connected knowledge sources. The server likely supports operations such as searching documents, retrieving specific information, and possibly updating knowledge repositories. This implementation would be valuable for applications requiring AI systems to access and utilize structured knowledge repositories in their workflows.
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Build a knowledge base from documents. Parameters: --input (path to documents), --config (YAML configuration file)
Search a knowledge base. Parameters: (path to knowledge base), (search query), --graph (optional to enhance search with graph), --limit (optional to limit results)
Start the MCP server with a specific knowledge base folder or archive. Parameters: --embeddings (path to knowledge base folder or .tar.gz file)
