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.
No reviews yet. Be the first to review!
Sign in to join the conversation
Highlight AIBuild a knowledge base from documents. Parameters: --input (path to documents), --config (configuration file for building the knowledge base), --update (update an existing knowledge base), --export (export the knowledge base for portability)
Search a knowledge base using a query. Parameters: path to knowledge_base (path to the knowledge base), query (search query), --graph (enhance search with graph), --limit (number of results to return)
Start the MCP server with a specific knowledge base folder or archive. Parameters: --embeddings (path to knowledge base folder or .tar.gz file), --host (host address), --port (port number)
