kb-mcp-server
Embedding MCP Server is a Model Context Protocol server powered by txtai, offering semantic search and AI-driven text processing with a standard interface. It features comprehensive knowledge graph capabilities and advanced causal boosting to enhance search relevance. The server can be configured and deployed easily using various installation methods.
What is the primary function of the Embedding MCP Server?
The primary function of the Embedding MCP Server is to provide semantic search, knowledge graph capabilities, and AI-driven text processing through a standardized interface.
Can the MCP server run locally?
Yes, the MCP server supports a local-first architecture, allowing users to run everything locally without sending data to external services.
What types of data can the MCP server process?
The MCP server can process various data types, including text, documents, audio, images, and video through a unified API.
How can knowledge bases be shared using the MCP server?
Knowledge bases can be saved as compressed archives (.tar.gz) for easy sharing and loading.
Is it necessary to use the knowledge base builder tool to create a knowledge base?
No, it is not necessary to use the knowledge base builder tool. A knowledge base can be built using txtai's programming interface by writing a Python script or using a Jupyter notebook.