OpenProject MCP Server

Overview

The OpenProject MCP server is a specialized bridge that lets AI assistants such as Claude or Cursor tap into an OpenProject instance to produce and manage project documentation automatically. It addresses the pain point of manual report generation and risk analysis by exposing a set of high‑level tools over the Model Context Protocol (MCP). Developers can embed these capabilities directly into conversational agents, enabling teams to ask for up‑to‑date weekly or monthly reports, get real‑time risk assessments, and receive workload recommendations without leaving the chat interface.

At its core, the server translates MCP calls into OpenProject API requests. When a user invokes , the server fetches project data, applies a chosen template (including Japanese‑style business reports), and returns a formatted document. The tool scans project milestones, budgets, and resource allocations to surface potential bottlenecks. All interactions are performed over a lightweight HTTP endpoint (), making it trivial to integrate into existing AI workflows or custom front‑ends.

Key capabilities include:

• Intelligent report generation for weekly, monthly, and progress reports.
• Risk evaluation that scans project parameters in real time.
• Workload analysis providing actionable insights for team members.
• A template system that supports built‑in Japanese business styles and allows users to create custom templates via a web editor.
• Full MCP compliance, ensuring seamless communication with Claude Desktop, Cursor, or any MCP‑capable client.

Real‑world scenarios range from project managers who want instant status updates delivered to stakeholders, to developers embedding automated reporting into their CI/CD pipelines. For example, a team could ask the assistant, “Give me a risk‑aware weekly report for Project 42,” and receive a ready‑to‑share document without manual data extraction. In agile environments, the workload analysis tool can surface overburdened team members, prompting proactive resource reallocation.

Integration is straightforward: configure the server’s OpenProject URL and API key, expose the endpoint, and add a single MCP server entry in the AI tool’s settings. Once connected, any MCP‑enabled assistant can invoke the server’s tools using standard JSON‑RPC calls. This tight coupling between AI and project data eliminates context switching, reduces manual effort, and ensures that reports reflect the latest state of the project repository.