mcp-chat-analysis-server
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The MCP Chat Analysis Server is a tool for analyzing chat data with functionalities like semantic search, concept extraction, and conversation analytics, utilizing vector embeddings and knowledge graphs for enhanced analysis.
MCP Chat Analysis Server
A Model Context Protocol (MCP) server for semantic analysis of chat conversations utilizing vector embeddings and knowledge graphs. Key features include:
- Semantic search of messages via vector similarity
- Knowledge graph to explore relationships between messages, concepts, and topics
- Conversation analytics for metrics and pattern insights
- Support for multiple chat export formats
- Integration with Claude and other MCP systems
Prerequisites
- Python 3.8+
- Neo4j and Qdrant databases
Installation
- Install package via pip
- Set up databases with Docker
- Configure server settings
Development
Clone the repository, install dependencies, and run tests.
Contributing
Fork the repo, create branches, and submit pull requests.
License
MIT License applies.