Embedding MCP Server
by MCP-Mirror
The Embedding MCP Server is a Model Context Protocol (MCP) server implementation powered by txtai. It provides semantic search, knowledge graph capabilities, and AI-driven text processing through a standardized interface.
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What is Embedding MCP Server?
The Embedding MCP Server is a server that provides a standardized interface to access knowledge bases built using txtai. It leverages txtai's capabilities for semantic search, knowledge graph construction, and text processing.
How to use Embedding MCP Server?
First, build a knowledge base using the kb_builder tool or txtai's programming interface. Then, start the MCP server, pointing it to the knowledge base. You can then configure an LLM client to use the MCP server by providing the server's command and arguments in an MCP configuration file.
Key features of Embedding MCP Server
Semantic search capabilities
Knowledge graph querying and visualization
Text processing pipelines (summarization, extraction, etc.)
Full compliance with the Model Context Protocol
Use cases of Embedding MCP Server
Question answering systems
Chatbots with knowledge base integration
Semantic search applications
Knowledge discovery and exploration
FAQ from Embedding MCP Server
What is txtai?
What is txtai?
txtai is an all-in-one embeddings database for RAG leveraging semantic search, knowledge graph construction, and language model workflows.
How do I build a knowledge base?
How do I build a knowledge base?
You can use the kb_builder tool or txtai's programming interface to build a knowledge base from various data sources.
What configuration options are available for the MCP server?
What configuration options are available for the MCP server?
The MCP server can be configured using command-line arguments or environment variables, including options for the embeddings path, host, and port.
How do I configure an LLM client to use the MCP server?
How do I configure an LLM client to use the MCP server?
Create an MCP configuration file specifying the command and arguments to start the MCP server, and then configure your LLM client to use this file.
What is causal boosting?
What is causal boosting?
Causal boosting is a mechanism that enhances search relevance by identifying and prioritizing causal relationships in queries and documents.