Gflow MCP server for Codex

A lightweight, single-node GPU job scheduler implemented in Rust.

How to install Gflow in Codex

Install check: Codex added its MCP server, but the command that server runs isn't installed in a clean setup. Install it first (see the README). (checked Oct 28, 2026, how we check)

Add it to Codex as an MCP server:

Command copied from the repo README (Codex's `codex mcp add` adds an MCP server to Codex). Check the README for any API key or setup it needs. Source: repo README.

What it contains

Component list not published in a manifest we can read. See the repo README.

About this listing

Gflow is a community connector on GitHub by AndPuQing. Its README documents a Codex install and the repo documents a codex mcp add command. It passed the CodexStacks quality filter for repos found this way (at least 100 stars, pushed in the last 90 days, not a fork or a list). OpenAI hasn't reviewed it and we haven't install-checked it. It's one of 59 listings in the Education & Research category (category assigned by CodexStacks from the repo's topics and description).

Gflow FAQ

Details

Type

Connector

Category

Education & Research (assigned by us)

Source

Community

Author

AndPuQing

License

MIT

GitHub stars

103 (at last sync)

Last push

2026-10-28

GitHub topics

deep-learning, gpu, job-scheduler, rust, slurm, slurm-cluster, workflow

Source

https://github.com/AndPuQing/gflow

Website

https://runqd.com

Listed via

GitHub search: README documents a Codex install

Install check by CodexStacks

No badge: Codex added its MCP server, but the command that server runs isn't installed in a clean setup. Install it first (see the README). How we check

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