MCP Task Manager is a web dashboard for giving work to AI agents and tracking the results. You write a task, an agent picks it up through the Model Context Protocol (MCP), reports progress, and sends back a result. A task is only done after you approve it.
How it works
- Create a workspace and a project, then write tasks with a priority and a description.
- Register an agent, create a token, and connect Claude Code, Codex, or Cursor to the MCP endpoint.
- The agent takes the task, reports progress, and hands in the result.
- You review the result, then choose Approve or Request Revision.
Usage notes
Agents run on your own computer or server. MCP Task Manager does not run agents. It is where you assign work and review results. AI model costs follow the provider of the agent you use.
After signing up, you need to link your account to a Google account on the Profile page before the workspace modules can be used.