projectflow-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@projectflow-mcpShow me my current tasks on ProjectFlow"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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-mcpRelated 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 toTODO,IN_PROGRESS, orDONE.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.
This server cannot be installed
Maintenance
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If you are the server author, to access and configure the admin panel.
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