MCP Memory Server with Qdrant Persistence

What is MCP Memory Server with Qdrant Persistence? MCP Memory Server is a server that provides a knowledge graph implementation with semantic search capabilities powered by the Qdrant vector database. How to use MCP Memory Server? To use the MCP Memory Server, set up the environment variables, install dependencies, build the server, and add it to the MCP settings. Key features of MCP Memory Server? Graph-based knowledge representation with entities and relations File-based persistence (memory.json) Semantic search using Qdrant vector database OpenAI embeddings for semantic similarity HTTPS support with reverse proxy compatibility Use cases of MCP Memory Server? Managing complex knowledge graphs for applications. Performing semantic searches to find related entities and relations. Integrating with other services that require knowledge representation. FAQ from MCP Memory Server? What is required to run the MCP Memory Server? You need to set environment variables for OpenAI API key, Qdrant server URL, and Qdrant API key. Can I use it with a reverse proxy? Yes! The server supports HTTPS and can be configured to work with reverse proxies like Nginx or Apache. Is there a license for this project? Yes, the project is licensed under MIT.

As an MCP (Model Context Protocol) server, MCP Memory Server with Qdrant Persistence enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the MCP Memory Server, set up the environment variables, install dependencies, build the server, and add it to the MCP settings. Key features of MCP Memory Server? Graph-based knowledge representation with entities and relations File-based persistence (memory.json) Semantic search using Qdrant vector database OpenAI embeddings for semantic similarity HTTPS support with reverse proxy compatibility Use cases of MCP Memory Server? Managing complex knowledge graphs for applications. Performing semantic searches to find related entities and relations. Integrating with other services that require knowledge representation. FAQ from MCP Memory Server? What is required to run the MCP Memory Server? You need to set environment variables for OpenAI API key, Qdrant server URL, and Qdrant API key. Can I use it with a reverse proxy? Yes! The server supports HTTPS and can be configured to work with reverse proxies like Nginx or Apache. Is there a license for this project? Yes, the project is licensed under MIT.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.