Set up agent-tasker-mcp-server in VS Code

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Minimal stdio MCP server for parallel task execution by AI agents

01Configuration

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

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

02Steps

Make sure VS Code is installed and up to date.
Open .vscode/mcp.json and add the block above (merge into any existing mcpServers).
Provide any required API keys/credentials as environment variables.
Restart VS Code and confirm agent-tasker-mcp-server’s tools appear.

03Other runtimes

Claude Desktop Cursor Windsurf Cline Continue Goose OpenAI Agents SDK LangGraph CrewAI

04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-29 07:30Z

sourcesPyPI [p4]

Next step

Ship agent-tasker-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