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io.github.thelabvenice/memdata

io.github.thelabvenice/memdata·v1.4.1·Memory & RAG
Quality Score
81
/100

Persistent memory for AI agents. Store context, retrieve it semantically.

§01  Install
Claude Desktop (claude_desktop_config.json)
{
  "mcpServers": {
    "memdata": {
      "command": "npx",
      "args": [
        "-y",
        "memdata-mcp"
      ],
      "env": {
        "MEMDATA_API_KEY": "<your-memdata_api_key>"
      }
    }
  }
}
Cursor (.cursor/mcp.json)
{
  "mcpServers": {
    "memdata": {
      "command": "npx",
      "args": [
        "-y",
        "memdata-mcp"
      ],
      "env": {
        "MEMDATA_API_KEY": "<your-memdata_api_key>"
      }
    }
  }
}
Cline (cline_mcp_settings.json)
npx -y memdata-mcp
§02  Environment variables
MEMDATA_API_KEY
requiredsecret

Your MemData API key (get one at memdata.ai/dashboard/api-keys)

§03  MCP Quality Score  ·  methodology
freshness
21
completeness
10
installability
25
documentation
15
stability
10
§04  Alternatives in Memory & RAG