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mcp-server-code-execution-mode / setup / openai-agents
Setup guide

Set up mcp-server-code-execution-mode in OpenAI Agents SDK

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An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.

01Configuration
# mcp-server-code-execution-mode via OpenAI Agents SDK # transport: unknown # launch: the server's install method

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

02Steps
  1. Make sure OpenAI Agents SDK is installed and up to date.
  2. Wire the server into OpenAI Agents SDK using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart OpenAI Agents SDK and confirm mcp-server-code-execution-mode’s tools appear.
03Other runtimes
Claude DesktopCursorWindsurfClineContinueGooseVS CodeLangGraphCrewAI
04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-29 07:53Z
sourcesGitHub repo search [p4]
Next step

Ship mcp-server-code-execution-mode 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