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Knowledge & Memory (RAG) #TypeScript#本地运行#MIT

boardroom-mcp

Multi-advisor debate, institutional memory, trust scoring, and cognitive governance for AI agents, all running locally.

Knowledge & Memory (RAG) npm 0 platforms 0 features

Install

npx -y boardroom-mcp

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

{
  "mcpServers": {
    "boardroom-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "boardroom-mcp"
      ],
      "env": {
        "BOARDROOM_ROOT": "<BOARDROOM_ROOT>",
        "BOARDROOM_TRUST_PATH": "<BOARDROOM_TRUST_PATH>"
      }
    }
  }
}

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.

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