# OpenProject MCP Server

> Use this tool when you need to automate project management tasks, such as task tracking and team administration, by interacting with OpenProject's APIv3. It solves problems related to workflow optimization, team collaboration, and data consistency, and accepts inputs like project IDs, task details, and user credentials, producing outputs like work package updates and project configuration changes. Ideal for use cases requiring autonomous management of projects, work packages, and reference data within OpenProject.

Canonical page: https://skillsregistry.net/skills/brunofin-openproject-mcp  
JSON: https://api.skillsregistry.net/v1/skills/brunofin-openproject-mcp

## Description

Enables AI agents to interact with OpenProject's APIv3 for autonomous project management, including task tracking, member administration, and project configuration. It supports comprehensive operations for managing work packages, projects, and reference data like statuses and priorities.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o2wl0cbawn)
- **Repository:** <https://github.com/brunofin/openproject-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "brunofin-openproject-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brunofin-openproject-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brunofin-openproject-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt