kb-mcp-server
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A Model Context Protocol (MCP) server implementation powered by txtai, providing semantic search, knowledge graph capabilities, and AI-driven text processing through a standardized interface.
The Embedding MCP Server is a robust implementation of the Model Context Protocol (MCP) server, leveraging the capabilities of txtai, an all-in-one embeddings database. This server facilitates semantic search, knowledge graph construction, and AI-driven text processing through a standardized interface. It integrates a unified vector database, combining vector indexes, graph networks, and relational databases into a single platform. The server supports semantic search, allowing users to find information based on meaning rather than keywords. It also enables automatic knowledge graph construction and querying, making it easier to manage and visualize complex data relationships. The server is designed with a local-first architecture, ensuring that all operations can be performed locally without the need to send data to external services. Additionally, it offers an extensible pipeline system for processing various data types, including text, documents, audio, images, and video.
Features
- Unified Vector Database: Combines vector indexes, graph networks, and relational databases in a single platform.
- Semantic Search: Allows finding information based on meaning, not just keywords.
- Knowledge Graph Integration: Automatically build and query knowledge graphs from your data.
- Portable Knowledge Bases: Save entire knowledge bases as compressed archives that can be easily shared and loaded.
- Local-first Architecture: Run everything locally without sending data to external services.
