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agent-tasker-mcp-server / setup / crewai
Setup guide

Set up agent-tasker-mcp-server in CrewAI

communitystdiounknownno verified config · noindex

Minimal stdio MCP server for parallel task execution by AI agents

01Configuration
# agent-tasker-mcp-server via CrewAI # transport: stdio # launch: uvx agent-tasker-mcp-server

CrewAI connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.

02Steps
  1. Make sure CrewAI is installed and up to date.
  2. Wire the server into CrewAI using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart CrewAI and confirm agent-tasker-mcp-server’s tools appear.
03Other runtimes
Claude DesktopCursorWindsurfClineContinueGooseVS CodeOpenAI Agents SDKLangGraph
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