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How to keep an AI on a project roadmap with project progress MCP with AI Goodpractice

Run the project progress MCP so the AI records changes and future goals as it works.

Who it is forA developer building a multi-step project with an AI agent who keeps getting pulled into side features and loses the main path.

The problemThe AI drifts off the intended path and can forget what it was doing after a side feature.

The outcomeA roadmap the AI keeps updated, so it can branch to a side feature and return to the main path afterwards.

What you need first

  • An AI-enabled IDE such as Cursor, VS Code, or Claude Code
  • A project folder or repo to apply the setup to
  • Access to an AI model; the guide's author uses a mix of Claude, ChatGPT and Grok through Cursor

Steps

  1. Open the project-progress-mcp repository at https://github.com/xop01/project-progress-mcp and read its README.
  2. Clone the repository and build it. The README says it is written in Zig and is compilable on every OS. (inferred, check the README)
  3. Register the built MCP in the MCP settings of your AI tool, such as Cursor. (inferred, check the README)
  4. Start working on your project and ask the AI to record the current progress and future goals as it works.
  5. When a side feature comes up, let the AI branch to it, then have it return to the main roadmap.

Prompt for your agent

Use the project progress MCP from xop01/project-progress-mcp on <project path>. Record completed changes, the current feature and the next goals as you work. Expected output: an updated roadmap and the next step after finishing a side task. Verify that the main path is still listed after the side task.

Caveat. The README says this is likely not an automatic path to completion, and the author does not know all of its possibilities.

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