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tinomupezeni

projectflow-mcp

by tinomupezeni

ProjectFlow MCP Server

This is the official Model Context Protocol (MCP) server for ProjectFlow. It allows AI coding agents (like Claude Desktop, Antigravity, Cursor, etc.) to securely read, update, and create tasks on your ProjectFlow boards.

Installation

Any user can install this globally using pip:

pip install projectflow-mcp

Related MCP server: teamboard-mcp

Configuration (For Users)

Once installed, users just need to add this server to their AI agent's configuration file.

For Claude Desktop & Antigravity

Add the following to your claude_desktop_config.json (or mcp_config.json for Antigravity):

{
  "mcpServers": {
    "projectflow": {
      "command": "projectflow-mcp",
      "env": {
        "PROJECTFLOW_EMAIL": "your-email@example.com",
        "PROJECTFLOW_PASSWORD": "your-password",
        "PROJECTFLOW_API_URL": "https://projectflow.thuthuka.tech/api"
      }
    }
  }
}

Note: The PROJECTFLOW_API_URL defaults to the main production URL if not provided.

Available AI Tools

When connected, your AI gains the following capabilities:

  • list_projects: Discover available workspaces and projects.

  • list_my_tasks: View assigned tasks and current board status.

  • get_task_details: Fetch subtasks and deep descriptions.

  • update_task_status: Move tasks to TODO, IN_PROGRESS, or DONE.

  • create_task / create_subtask: Allow the AI to log bugs or break down its own work.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

No tool schema history has been recorded yet.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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