Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the Teamwork Projects in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
Manage Teamwork.com (projects, tasks, milestones, time entries, comments, people) from any AI agent. 10 tools, basic-auth with API key.
Try asking
Example prompts for Teamwork Projects
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Teamwork Projects, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Teamwork Projects + Gemini
Manage Teamwork.com (projects, tasks, milestones, time entries, comments, people) from any AI agent. 10 tools, basic-auth with API key.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
TEAMWORK_SUBDOMAIN, TEAMWORK_API_KEY
Step 1 — Get credentials
This connector wraps the Teamwork Projects REST API v3 (per-subdomain — yoursubdomain.teamwork.com/projects/api/v3).
Setup:
- Log into your Teamwork account → top-right avatar → Edit my details → API & Mobile → Get my API Key.
- Note your subdomain (the part before
.teamwork.com). - Set
TEAMWORK_SUBDOMAINandTEAMWORK_API_KEY.
Authentication: HTTP Basic — API key as username, literal x as password.
Per-tenant baseUrl: https://${TEAMWORK_SUBDOMAIN}.teamwork.com/projects/api/v3. Substituted at import time.
API versions: v3 is the modern REST. v1/v2 still exist for some endpoints. This adapter uses v3 where available.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Add the connector in Gemini
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → Profile → MCP API Keys → New Key.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —Teamwork Projectsshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcpto thetoolsarray of your request with the same Bearer header.
Available tools
| Tool | What it does |
|---|---|
teamwork_list_projects | List projects |
teamwork_get_project | Get one project with summary metrics |
teamwork_create_project | Create a project |
teamwork_list_tasks | List tasks across all projects (or one) |
teamwork_get_task | Get one task with all custom fields, time logs, dependencies |
teamwork_create_task | Create a task inside a task list |
teamwork_complete_task | Mark a task complete |
teamwork_log_time | Log time on a task or project |
teamwork_list_milestones | List milestones across projects |
teamwork_list_people | List users (people) |
FAQ
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with Bearer headers.
Next steps
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