optimized-memory-mcp-serverv2
by MCP-Mirror
This is a Python-based Model Context Protocol (MCP) server implementation designed to work with Claude Desktop as an MCP client. It's a personal project to test Claude AI's ability to self-write an MCP Server code for its own use.
Last updated: N/A
What is optimized-memory-mcp-serverv2?
This is a Python implementation of a Model Context Protocol (MCP) server, designed to interface with Claude Desktop. It aims to provide a server that Claude AI can use to manage its context.
How to use optimized-memory-mcp-serverv2?
To use this server, you need Python 3.13.1, uvx, and the dependencies listed in requirements.txt. Clone the repository, create a virtual environment, install the dependencies, initialize the database using alembic, and then run the server using uvx run python -m src.main.
Key features of optimized-memory-mcp-serverv2
Python-based implementation
Designed for Claude Desktop
Uses Model Context Protocol (MCP)
Includes documentation and tests
Uses alembic for database migrations
Use cases of optimized-memory-mcp-serverv2
Providing context management for Claude AI
Testing Claude AI's ability to generate server code
Developing MCP servers for AI applications
Experimenting with AI-server communication protocols
FAQ from optimized-memory-mcp-serverv2
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for managing the context of AI models.
What is uvx?
What is uvx?
uvx is a tool used to run the Python server.
Why is Python 3.13.1 required?
Why is Python 3.13.1 required?
The server is developed and tested using Python 3.13.1, ensuring compatibility.
What is alembic used for?
What is alembic used for?
alembic is used for database migrations, allowing for easy schema updates.
Where can I find implementation details?
Where can I find implementation details?
Implementation details and best practices can be found in docs/CONVENTIONS.md.