Setup guide

Set up ai-mcp-server in Goose

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本地 MCP 橋樑：把多個 API key + endpoint 收編為統一的模型能力池，給 Agent 透過 MCP 調用

01Configuration

{
  "mcpServers": {
    "ai-mcp-server": {
      "command": "uvx",
      "args": [
        "ai-mcp-server"
      ]
    }
  }
}

Add this to ~/.config/goose/config.yaml. Generated from the captured install method (uvx); the mcpServers shape is shared across Claude Desktop, Cursor, Windsurf, Cline, and VS Code.

02Steps

Make sure Goose is installed and up to date.
Open ~/.config/goose/config.yaml and add the block above (merge into any existing mcpServers).
Provide any required API keys/credentials as environment variables.
Restart Goose and confirm ai-mcp-server’s tools appear.

03Other runtimes

Claude Desktop Cursor Windsurf Cline Continue VS Code OpenAI Agents SDK LangGraph CrewAI

04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-30 07:39Z

sourcesPyPI [p4]

Next step

Ship ai-mcp-server to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives