I let ChatGPT and Claude work the same project plan as "team members" over MCP. Demo + how it works.

I've been experimenting with a different take on multi-agent orchestration. Instead of building an agent framework with agent-to-agent messaging and shared memory, I used a project plan as the shared control plane. The idea: a project plan already has tasks, owners, dependencies, deliverables, comments, issues, and approvals, which is basically the ownership / accountability / audit / escalation layer autonomous agents need. So I exposed a whole PM platform as an MCP server, and now any MCP client (Claude, ChatGPT connectors, Cursor, your own agent) can connect and act as a real member of the workspace. In the demo: I describe a project in one sentence, an AI writes and staffs the plan, then ChatGPT writes the copy and Claude builds the thing, each claiming its assigned task, posting deliverables, and updating status. Humans stay as the approval gate, nothing ships without sign-off. If an agent is missing info, it raises an issue and marks the task blocked instead of guessing. Design choices I'd genuinely like feedback on: - Agents are provisioned as "personas", real members with identity, attribution, and an audit trail, not anonymous API calls. - Destructive ops are deny-by-default; you allow-list what agents can run. - Deliverables land in a review inbox for a human to approve. - Multi-vendor on purpose, assign the best agent per task. Demo (2 min): Link in comments You can also point your own agent at the MCP endpoint and have it work tasks. Disclosure: I built this. Mostly I'm curious what this sub thinks of "the plan as the control plane" vs a dedicated agent framework, and where you'd expect it to break.