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MCP Memory Graph

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Authority-weighted memory graph for AI agents with conflict detection and semantic search.

Source code

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package mcp-memory-graph
Claude Code 
claude mcp add mcp-memory-graph -- uvx mcp-memory-graph==0.1.1
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "mcp-memory-graph": {
            "command": "uvx",
            "args": [
                "mcp-memory-graph==0.1.1"
            ]
        }
    }
}

Frequently asked questions

What is MCP Memory Graph?

Authority-weighted memory graph for AI agents with conflict detection and semantic search.

How do I install MCP Memory Graph?

It runs on your machine. In Claude Code: claude mcp add mcp-memory-graph -- uvx mcp-memory-graph==0.1.1. For other clients, paste the JSON configuration from this page into their MCP settings.

Does MCP Memory Graph need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is MCP Memory Graph open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains MCP Memory Graph?

It is published by RetroRobAI. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.