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PAPI

MCP server that gives a team one shared plan, task board, build handoffs and release record across whichever AI coding tools each person uses, such as Claude Code, Cursor or Codex.

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What it does

PAPI connects to AI coding tools over MCP and keeps a single project plan that every teammate's AI works from. Work moves through four steps: plan the next batch of tasks, build them one at a time, review the change against team rules and tests, and release with a record of who built what, with which AI, and when. Each person can use a different tool. The site names Claude Code, Cursor, ChatGPT, Codex and Lovable, and says any MCP client works. Decisions, conventions and build reports persist between sessions, so a new chat starts from the project's current state rather than from zero. PAPI says it runs no AI of its own and never sees source code; it stores tasks, decisions and build reports, and model costs come through the AI tool you already use. A shared board updates as tasks move, and optional switches cover things like automatic branches, commits, pull requests, a PR reviewer and a security scan.

Capabilities

  • Plan, build, review and release cycles shared across a team
  • Build handoffs and decision memory that persist across sessions and tools
  • Works with any MCP client, including Claude Code, Cursor, ChatGPT and Codex
  • Live task board
  • Optional automatic branch, commit, pull request and PR review steps

When to use it

  • Teammates use different AI coding tools but need to work from one plan
  • You lose context when you start a new AI chat on the same project
  • You want a record of which AI built each change in a release

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