xtrace-mcp-server
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The xtrace-mcp-server is an example of creating a Model Context Protocol server for the XTrace vector database, which uses partially homomorphic encryption for privacy-preserving semantic search.
The xtrace-mcp-server is an official Model Context Protocol server designed to store and retrieve memories in the XTrace encrypted vector database. It serves as an encrypted semantic memory layer for Language Model Models (LLMs), enabling them to access and utilize context in a secure manner. By leveraging partially homomorphic encryption, the server ensures that data privacy is maintained while performing semantic searches. This makes it particularly useful for applications that require secure data handling, such as AI-powered IDEs, chat interfaces, and custom AI workflows. The server is configured using environment variables, which include API keys and encryption keys, ensuring that sensitive information is protected.
Features
- Encrypted Semantic Memory: Provides a secure layer for storing and retrieving semantic data.
- Partially Homomorphic Encryption: Ensures data privacy during semantic searches.
- Integration with LLMs: Seamlessly connects with Language Model Models for enhanced context utilization.
- Configurable via Environment Variables: Allows secure configuration using API keys and encryption keys.
- Supports XTrace Vector Database: Utilizes XTrace's capabilities for encrypted data storage and retrieval.
