rebots-online_mcp-chat-analysis-server

rebots-online_mcp-chat-analysis-server

3.1

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A Model Context Protocol (MCP) server for semantic analysis of chat conversations using vector embeddings and knowledge graphs.

The MCP Chat Analysis Server is designed to provide comprehensive tools for analyzing chat data. It leverages vector embeddings and knowledge graphs to perform semantic searches, extract concepts, and analyze conversation patterns. The server supports various chat export formats and integrates seamlessly with Claude and other MCP-compatible systems. It is built to handle complex conversation analytics, offering insights into message frequency, response times, and topic diversity. The server requires a Neo4j database for knowledge graph storage and a Qdrant vector database for semantic search, ensuring efficient data processing and retrieval.

Features

  • Semantic Search: Find relevant messages and conversations using vector similarity.
  • Knowledge Graph: Navigate relationships between messages, concepts, and topics.
  • Conversation Analytics: Analyze patterns, metrics, and conversation dynamics.
  • Flexible Import: Support for various chat export formats.
  • MCP Integration: Easy integration with Claude and other MCP-compatible systems.

Tools

  1. import_conversations

    Import and analyze chat conversations.

  2. semantic_search

    Search conversations by semantic similarity.

  3. analyze_metrics

    Analyze conversation metrics.

  4. extract_concepts

    Extract and analyze concepts.