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OrchestrAI
Tagline MCP server for multi-model software engineering
OrchestrAI is an open-source MCP server that lets Claude, OpenAI/Codex, Gemini, and local models work together on coding tasks. It routes work by role, supports parallel collaboration, and verifies outputs with lint, tests, and type checks. Built for hybrid local/cloud AI workflows with inspectable traces and artifacts.
Hey Product Hunt 👋
I built OrchestrAI because most AI coding workflows still rely on one model doing everything:
🧠 planning
💻 coding
🧪 testing
🔍 reviewing
⚖️ judging
That felt like the wrong architecture.
So I created OrchestrAI — an open-source MCP server for multi-model software engineering.
Instead of forcing one model to handle the whole workflow, OrchestrAI lets multiple models collaborate in parallel through roles like:
🗺️ Planner
👨💻 Coder
🧪 Tester
🛡️ Reviewer
⚖️ Judge
It currently supports workflows around:
Claude
OpenAI / Codex
Gemini
local models
Key things I wanted from day one:
✅ MCP-native architecture
✅ parallel multi-model orchestration
✅ built-in verification with lint, tests, and type checks
✅ privacy-aware routing
✅ local-only mode for sensitive work
✅ traces and artifacts for inspectable decisions
Current orchestration modes:
⚡ parallel_draft
🛠️ impl_tester
🧩 planner_coder_reviewer
My big question for the community is:
What should a real orchestration layer do that current single-model coding tools still miss?
Would love your honest feedback, ideas, and criticism 🙌
Musa Ceylan