What is the MCP Server for MCP?

The MCP Server for MCP is a server that queries a Turso database containing embeddings and transcript segments, allowing users to search for relevant transcript segments by asking questions.

What is vector similarity search?

Vector similarity search is a method that analyzes the meaning and context of a query to identify transcript segments with similar semantic content, providing more accurate results than keyword-based searches.

What are the key features of the MCP Server for MCP?

Key features include vector similarity search, relevance scoring, complete transcript metadata, configurable search parameters, efficient database connection pooling, comprehensive error handling, and performance optimization.

How do I configure the MCP Server for MCP?

The MCP Server for MCP can be configured using JSON settings in your MCP client, such as Cline or Claude Desktop, by specifying the command, arguments, and environment variables for the server.

What is the database schema required for the MCP Server for MCP?

The server expects a Turso database with two tables: embeddings (containing transcript embeddings) and transcripts (containing episode titles, segment text, start/end times), linked by transcript ID.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create sophisticated Multi-Agent Systems.