Set up aceflow-mcp-server in OpenAI Agents SDK

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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 OpenAI Agents SDK
# transport: unknown
# launch: uvx aceflow-mcp-server

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

02Steps

Make sure OpenAI Agents SDK is installed and up to date.
Wire the server into OpenAI Agents SDK using its MCP client API.
Provide any required API keys/credentials as environment variables.
Restart OpenAI Agents SDK and confirm aceflow-mcp-server’s tools appear.

03Other runtimes

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04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-29 07:32Z

sourcesPyPI [p4]

Next step

Ship aceflow-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