Geeksfino_kb-mcp-server
If you are the rightful owner of Geeksfino_kb-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Embedding MCP Server is a Model Context Protocol server implementation using txtai for semantic search, knowledge graph capabilities, and AI-driven text processing.
The Embedding MCP Server is a robust implementation of the Model Context Protocol (MCP) that leverages the capabilities of txtai, an all-in-one embeddings database. This server provides a standardized interface for semantic search, knowledge graph construction, and AI-driven text processing. It allows users to build and manage knowledge bases using a command-line interface or through Python scripts. The server can load knowledge bases from directories or compressed archives, making it highly flexible and portable. With features like semantic search, knowledge graph integration, and an extensible pipeline system, the Embedding MCP Server is designed to run locally, ensuring data privacy and security. It supports various installation methods, including conda, source, and uvx, catering to different user preferences and environments.
Features
- Unified Vector Database: Combines vector indexes, graph networks, and relational databases in a single platform.
- Semantic Search: Enables finding information based on meaning rather than just keywords.
- Knowledge Graph Integration: Automatically builds and queries knowledge graphs from data.
- Portable Knowledge Bases: Allows saving entire knowledge bases as compressed archives for easy sharing and loading.
- Extensible Pipeline System: Processes text, documents, audio, images, and video through a unified API.
