Project Management Ai Mcp
Wire Claude Code or Cursor to AI-assisted project management so your agent can plan sprints, track tasks, and update work items without leaving the chat.
Overview
io.github.CSOAI-ORG/project-management-ai-mcp is a MCP server for the Build phase that lets coding agents invoke AI-assisted project-management operations over stdio.
What is this MCP server?
- stdio MCP server (PyPI package project-management-ai-mcp v1.0.4) for local agent attachment
- Published under MEOK AI Labs via CSOAI-ORG on GitHub with MCP 2025-12-11 server schema
- Bridges coding agents to structured project-management actions instead of ad-hoc markdown todo lists
- Suited for solo builders who want the agent to read and mutate PM state through the protocol
- Complements human PM tools when you orchestrate build work from Claude Code or Cursor
- Server version 1.0.4 on PyPI identifier project-management-ai-mcp
- Transport type stdio per MCP server.schema.json 2025-12-11
- Single published package entry in catalog metadata
What problem does it solve?
Solo builders lose track of tasks and milestones when plans live only in chat threads instead of a structure the agent can update.
Who is it for?
Indie developers who want their agent to manage or query project tasks while implementing features in Claude Code or Cursor.
Skip if: Teams that need a full standalone PM product with rich UI and no agent integration, or builders who do not run MCP-compatible clients.
What do I get? / Deliverables
After you register the stdio server in your agent, PM-oriented requests can flow through MCP tools so execution state stays aligned with your build work.
- Registered stdio MCP server the agent can call for PM-oriented tools
- Agent-driven updates or queries against your configured project-management workflow
- Repeatable local setup documented from the published server schema package
Recommended MCP Servers
Journey fit
Canonical shelf is Build because the server exposes PM workflows while you are actively shipping features, not during pure ideation or post-launch analytics. The pm subphase is the best fit for backlog, milestones, and execution tracking—the core problems this integration targets.
How it compares
MCP PM bridge for agents, not a hosted Notion or Jira replacement skill.
Common Questions / FAQ
Who is project-management-ai-mcp for?
It is for solo and small-team builders using MCP-enabled agents who want project-management actions available as protocol tools during development.
When should I use project-management-ai-mcp?
Use it in the Build phase when you are executing features and need the agent to read or update tasks, milestones, or PM metadata without manual copy-paste.
How do I add project-management-ai-mcp to my agent?
Install the PyPI package project-management-ai-mcp, configure a stdio MCP entry pointing at that server, and restart Claude Code, Cursor, or your MCP client per its docs.