Claude Context

Claude Context is an MCP (Model Context Protocol) server that enables persistent memory and context management for Claude AI conversations. It leverages Milvus vector database to store and retrieve contextual information, allowing Claude to maintain long-term memory across sessions and provide more coherent, context-aware responses.

This tool bridges the gap between stateless AI interactions and persistent knowledge management, making it ideal for developers building applications that require Claude to remember previous conversations, user preferences, or domain-specific information.

• Persistent Memory Storage - Store conversation context and important information in Milvus vector database for retrieval across multiple sessions, enabling Claude to maintain continuity in long-running projects or ongoing user interactions.

• Vector-Based Retrieval - Utilize semantic search capabilities powered by Milvus to find relevant context based on meaning rather than exact keyword matches, improving the quality and relevance of retrieved information.

• MCP Integration - Seamlessly integrates with Claude through the Model Context Protocol, allowing easy setup and configuration with Claude Desktop or other MCP-compatible applications.

• Environment Configuration - Flexible configuration through environment variables for Milvus connection settings, embedding models, and other parameters to customize behavior for different deployment scenarios.

• Open Source - Fully open-source project hosted on GitHub under Zilliz Tech, allowing developers to inspect, modify, and contribute to the codebase.

To get started, clone the repository from GitHub and configure the required environment variables for your Milvus instance. The documentation provides detailed instructions for setting up connection parameters, authentication, and embedding model configurations. Once configured, register the MCP server with your Claude Desktop application to enable persistent context capabilities in your conversations.