aceflow-mcp-server / setup / crewai
Setup guide

Set up aceflow-mcp-server in CrewAI

communityunknownneeds cautionno verified config · noindex

AceFlow MCP Server - AI-Driven Intelligent Workflow System with Contract-First Development, Memory Management, and 25 MCP Tools (4 Contract + 21 Workflow)


01Configuration
# aceflow-mcp-server via CrewAI # transport: unknown # launch: uvx aceflow-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 aceflow-mcp-server’s tools appear.

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-08-07 10:57Z
sourcesPyPI [p4]

Next step

Want agents that act within guardrails? Apex is the live governed-agent product — paced, capped, and fully-logged actions with approvals before anything runs.

Explore Apex →

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

Set up aceflow-mcp-server MCP in CrewAI — MCPExplorer