Set up mcp-server-runner in OpenAI Agents SDK

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A WebSocket server implementation for running Model Context Protocol (MCP) servers. This application enables MCP servers to be accessed via WebSocket connections, facilitating integration with web applications and other network-enabled clients.

01Configuration

# mcp-server-runner 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

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 mcp-server-runner’s tools appear.

03Other runtimes

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04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-29 07:31Z

sourcesGitHub repo search [p4]

Next step

Ship mcp-server-runner 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