# Teamwork

> Use this tool when you need to manage projects, tasks, and team collaboration within AI assistant conversations. It provides a simplified interface for interacting with the Teamwork API, allowing for project management, task tracking, and report generation. Ideal for workflows requiring integrated project management and team collaboration, it accepts environment variables or command-line arguments as inputs and outputs project details, tasks, and utilization reports.

Canonical page: https://skillsregistry.net/skills/teamwork  
JSON: https://api.skillsregistry.net/v1/skills/teamwork

## Description

Teamwork MCP provides a simplified interface for interacting with the Teamwork API, allowing AI assistants to manage projects, tasks, people, and reports. Developed by Chris Houston, it offers tools for retrieving project details, creating and managing tasks, handling team members, and generating utilization reports in various formats. The server can be configured through environment variables or command-line arguments, with options to filter available tools for enhanced security. It's particularly useful for workflows requiring project management integration, task tracking, and team collaboration directly within AI assistant conversations.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/teamwork)
- **Repository:** <https://github.com/vizioz/teamwork-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": "teamwork"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teamwork` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teamwork/pull`

---
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