This project is a Python-based Model Context Protocol (MCP) server designed to work with Claude Desktop as an MCP client, testing Claude AI's ability to self-write server code. The server supports developing AI applications that require a context protocol.
This project is a Python-based Model Context Protocol (MCP) server designed to work with Claude Desktop as an MCP client, testing Claude AI's ability to self-write server code. The server supports developing AI applications that require a context protocol.
Clone the repository, set up a Python virtual environment, install the required dependencies, initialize the database, and run the server using the provided commands.Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"optimized-memory-mcp-serverv2": {
"command": "npx",
"args": [
"-y",
"Clone the repository, set up a Python virtual environment, install the required dependencies, initialize the database, and run the server using the provided commands."
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from optimized-memory-mcp-serverv2?"
No configuration required. This server works out of the box.
"What resources are available in optimized-memory-mcp-serverv2?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in optimized-memory-mcp-serverv2"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in optimized-memory-mcp-serverv2 with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
See what tools in your stack can connect to AI.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.