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Connect AI assistants to OpenProject for task management

Manage OpenProject projects, work packages, time tracking, and reports via MCP tools.

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Works with openprojectwindsurfclaude
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out of 100
Updated 11 months ago
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Source checked Sep 10, 2026
Version 1.0.0
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Why it matters

Enable AI assistants like Claude and Windsurf to directly access and manage OpenProject work packages, projects, time tracking, and team data through the Model Context Protocol, eliminating manual context switching between project management and AI tools.

Outcomes

What it gets done

01

Query and update work packages, tasks, and project details in OpenProject

02

Generate weekly project reports and statistics automatically

03

Log time entries and track project hours through AI commands

04

Access team assignments and user information for project coordination

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/mcp-mcp-openproject-server | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

MCP OpenProject Server

MCP OpenProject Server connects AI assistants like Windsurf to OpenProject via MCP: managing projects and work packages, generating weekly reports, tracking time, and accessing team information, over a stdio transport with encrypted API key configuration. Use it when an AI assistant needs to read or update OpenProject data, projects, tasks, time entries, directly. Stdio is the supported transport today; HTTP and SSE modes are planned but not yet available.

What it does

MCP OpenProject Server is a Model Context Protocol server that integrates OpenProject with AI assistants like Windsurf and other MCP-compatible clients. It gives an assistant complete access to OpenProject's API: listing projects and retrieving project details and statistics, creating, reading, and updating work packages and tasks, generating weekly reports for a project, logging time entries and tracking project hours, and accessing user information and team assignments. It is built as a FastMCP-based server with a generated OpenProject API client, an encrypted configuration and API key management layer, and a comprehensive CLI for testing connections, checking configuration, and running the server.

When to use - and when NOT to

Use it when an AI assistant needs to read or update OpenProject project data directly, checking work package status, logging time, or pulling a weekly report, without switching to the OpenProject web UI. Today the supported transport is stdio, the recommended mode for direct integration with Claude Code, Windsurf, and similar clients; HTTP and SSE modes are documented as planned for a future release, not yet generally available, so do not build a web-facing integration around them today. It is scoped to OpenProject specifically, so it is not a general project-management connector for other tools, and there is no bundled connector for Jira, Asana, or similar systems.

Capabilities

  • Project management - list projects, get project details and statistics.
  • Work packages - create, read, and update work packages and tasks.
  • Weekly reports - generate a project's weekly report.
  • Time tracking - log time entries and track project hours.
  • Team management - access user information and team assignments.

How to install

pipx install mcp-openproject
# or
pip install mcp-openproject
mcp-openproject --help

Configure it in your MCP client, for example Windsurf:

{
  "mcpServers": {
    "openproject": {
      "command": "mcp-openproject",
      "args": ["server", "--stdio"],
      "env": {
        "OPENPROJECT_BASE_URL": "http://localhost:8090/",
        "OPENPROJECT_API_KEY": "your-api-key-here"
      }
    }
  }
}

Useful CLI commands: mcp-openproject test (test the OpenProject connection), mcp-openproject config (show current configuration), and mcp-openproject status (check server status).

Who it's for

Teams running OpenProject who want an AI assistant to manage projects, work packages, and time tracking directly from a conversation, instead of switching context to the OpenProject web interface for routine project management tasks. It is published on PyPI as mcp-openproject, marked production ready at version 0.0.2, and licensed under the permissive MIT License.

Source README

MCP OpenProject Server

A Model Context Protocol (MCP) server for integrating OpenProject with AI assistants like Windsurf, and other MCP-compatible clients.
Version: 0.0.2 | Status: Production Ready | PyPI: mcp-openproject

🚀 Quick Start

Option 1: Install from PyPI or github (Recommended for Users)

#pipx (isolated environment)
pipx install mcp-openproject
#or Install from PyPI
pip install mcp-openproject
# Install globally from GitHub
pipx install git+https://github.com/boma086/mcp-openproject.git
# Test installation
mcp-openproject --help

Option 2: Development Installation

# Clone repository
git clone https://github.com/boma086/mcp-openproject.git
cd mcp-openproject
# Install in development mode
pip install -e .

⚙️ MCP Client Configuration

Windsurf Configuration

Add this to your MCP client configuration:

{
  "mcpServers": {
    "openproject": {
      "command": "mcp-openproject",
      "args": ["server", "--stdio"],
      "env": {
        "OPENPROJECT_BASE_URL": "http://localhost:8090/",
        "OPENPROJECT_API_KEY": "your-api-key-here"
      }
    }
  }
}

Features

  • 🚀 PyPI Installation: Install from PyPI with pip install mcp-openproject
  • 📡 Multiple Transport Modes: Stdio (HTTP SSE planned)
  • 🔗 OpenProject API Integration: Complete access to projects, work packages, and tasks
  • 🛡️ Security: Encrypted configuration and API key management
  • 🖥️ CLI Interface: Comprehensive command-line tools
  • 🎯 MCP Compatible: Works with Windsurf, and other MCP clients
  • ✅ Production Tested: Verified installation and CLI functionality

CLI Commands

# Show help
mcp-openproject --help
# Test connection to OpenProject
mcp-openproject test
# Show current configuration
mcp-openproject config
# Start MCP server in different modes
mcp-openproject server --stdio          # Stdio mode (for MCP clients)
mcp-openproject server --http --port 8000  # HTTP mode
# Check server status
mcp-openproject status

Available MCP Tools

  • Project Management: List projects, get project details, project statistics
  • Work Packages: Create, read, update work packages and tasks
  • Weekly Reports: Generate weekly reports for projects
  • Time Tracking: Log time entries, track project hours
  • Team Management: Access user information and team assignments

Architecture

This project uses a comprehensive architecture with:

  • MCP Server: FastMCP-based implementation with multiple transport modes
  • OpenProject Integration: Generated API client with full OpenProject support
  • Security Framework: Encrypted configuration and API key management
  • CLI Interface: Comprehensive command-line tools for all operations

Key Components

  • mcp_server/: Core MCP server implementation
  • pyproject.toml: Project configuration with comprehensive dependency management

#- smithery.yaml: Smithery platform deployment configuration

Transport Modes

✅ Stdio Mode (Recommended for MCP Clients)

  • Use Case: Direct integration with Claude Code, Windsurf, and other MCP clients
  • Command: mcp-openproject server --stdio
  • Benefits: Standard MCP protocol, low latency, secure

🚧 HTTP Mode (Planned)

  • Use Case: Web applications, HTTP API integration
  • Command: mcp-openproject server --http --port 8000
  • Benefits: RESTful API, web-friendly, CORS support

🚧 SSE Mode (Planned)

  • Status: Planned for future release
  • Use Case: Real-time updates, streaming responses
  • Command: mcp-openproject server --sse --port 8001 (future)

FAQ

Common questions

Discussion

Questions & comments · 0

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