No install? Use cloud.anythingmcp.com directly.

Sign in, install the Teamwork Projects in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

TL;DR

Manage Teamwork.com (projects, tasks, milestones, time entries, comments, people) from any AI agent. 10 tools, basic-auth with API key.

💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Teamwork Projects klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein git clone, kein lokaler 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.

Voraussetzungen

Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:

TEAMWORK_SUBDOMAIN, TEAMWORK_API_KEY

Schritt 1 — Zugangsdaten holen

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_SUBDOMAIN and TEAMWORK_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)

Schritt 2 — Adapter installieren

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Schritt 3 — Connector in Gemini hinzufügen

Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
    }
  }
}

Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
Speichern und gemini neu starten.
/mcp in Gemini CLI ausführen — Teamwork Projects sollte als verfügbar gelistet sein.
Vertex AI Studio: https://cloud.anythingmcp.com/mcp im tools-Array der Anfrage mit demselben Bearer-Header übergeben.

Verfügbare 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

Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.

Nächste Schritte

War dieser Guide hilfreich?

Teamwork Projects mit Gemini verbinden — über MCP