odu-mcp
SkillAI & modelsodu MCP server launcher — drive CI from a coding agent. `bin/serve` resolves odu via Nix and runs `odu mcp` in the cwd. See the repo README for the tools/resources and override knobs.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the odu-mcp skill
What this skill tells your AI
The instructions your AI receives, as published by srid/drishti in .claude/skills/odu-mcp/SKILL.md and read by ahel’s review.
The agent face of odu — an MCP stdio server
that re-exposes a live CI run as agent tools (run, node_rerun,
wait_for_settle, cancel) and subscribable resources (surface://streams/nodes,
surface://collections/logs/{id}), so Claude Code / Codex / opencode / Gemini
CLI drive CI with structured calls instead of scraping terminal output.
cancel stops the live run and waits until it's torn down; run's supersede
cancels a run already live here before starting (the "stop this, run the fixed
commit" move), and linger keeps the coordinator serving past settle so a node
can be rerun afterwards. Together they let the agent loop call off or replace a
run instead of stranding it or hitting "a run is already in progress".
bin/serve is self-contained — it resolves odu via nix run and serves over
stdio in the consumer's repo (dialing .ci/odu.sock). Set ODU_FLAKE to
override the odu flake-ref (default github:juspay/odu); a repo that
re-exports odu can point it at its own pinned output with ODU_FLAKE=.#odu.
Full docs in the repo README.
This skill primitive exists for APM's deployment convention — it lands
bin/serve at .agents/skills/odu-mcp/bin/serve in the consumer's working
tree (APM's skills-convergence path), which keeps the launcher available even
before apm install runs on a fresh clone. The package is mechanically a
"skill" in APM's primitive vocabulary; semantically it's a tool launcher.
Signals
- GitHub stars
- 28
- Forks
- 1
- Last commit
- Sep 2026
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odu-mcp-srid- Source
- github.com/srid/drishti