mcp-chat-analysis-server

mcp-chat-analysis-server

3.4
knowledge_and_memorycommunication

If you are the rightful owner of mcp-chat-analysis-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.

A Model Context Protocol (MCP) server that enables semantic analysis of chat conversations through 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. This 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 is compatible with Python 3.8+, and requires Neo4j for knowledge graph storage and Qdrant for semantic search. It is an ideal solution for organizations looking to gain deeper insights into their chat data.

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.

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