rebots-online_mcp-chat-analysis-server

rebots-online_mcp-chat-analysis-server

0
research_and_datacommunicationai_chatbotdatabases

The MCP Chat Analysis Server is an advanced system designed to perform semantic analysis on chat conversations using vector embeddings and knowledge graphs. It offers tools for semantic search, knowledge graph exploration, and conversation analytics, with easy integration into MCP-compatible systems.

MCP Chat Analysis Server

A Model Context Protocol (MCP) server that enables semantic analysis of chat conversations through vector embeddings and knowledge graphs. It includes the following features:

  • Semantic Search: Locate relevant messages using vector similarity.
  • Knowledge Graph: Understand relationships between messages and topics.
  • Conversation Analytics: Evaluate conversation patterns and metrics.
  • Flexible Import: Support for multiple chat export formats.
  • MCP Integration: Compatible with Claude and other MCP systems.

Prerequisites

  • Python 3.8+
  • Neo4j and Qdrant databases for storage.

Installation

  1. Install the package with pip.
  2. Set up databases using Docker.
  3. Configure the server using environment settings.

Development

  • Clone the repository and install dev dependencies.
  • Run tests using pytest.