No install? Use cloud.anythingmcp.com directly.
Sign in, install the Wrike in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Manage Wrike (work management: tasks, folders, projects, comments, timelogs, attachments) from any AI agent. 10 tools, Bearer token.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Wrike klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Wrike + Gemini
Manage Wrike (work management: tasks, folders, projects, comments, timelogs, attachments) from any AI agent. 10 tools, Bearer token.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
WRIKE_ACCESS_TOKEN
Schritt 1 — Zugangsdaten holen
This connector wraps the Wrike API v4 (per-host).
Setup:
- Log into your Wrike account → top-right profile → Apps & Integrations → API → Create new application.
- Generate a permanent access token. Note your host — most accounts are
www.wrike.com, but EU accounts useapp-eu.wrike.com. Change baseUrl accordingly. - Set
WRIKE_ACCESS_TOKEN.
Authentication: Authorization: Bearer ${WRIKE_ACCESS_TOKEN}.
Entity model: Account → Folder/Project → Task → Subtask. A folder can contain folders + tasks. Projects are folders with project: true metadata.
…(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
geminineu starten. /mcpin Gemini CLI ausführen —Wrikesollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| Tool | What it does |
|---|---|
wrike_get_account | Return account info |
wrike_list_folders | List all top-level folders + projects in the account |
wrike_get_folder | Get a folder/project by ID with details |
wrike_create_folder | Create a folder or project inside a parent folder |
wrike_list_tasks | List tasks |
wrike_get_task | Get one task with full custom fields, dates, parents, shareds |
wrike_create_task | Create a task in a folder |
wrike_update_task | Update task fields |
wrike_add_comment | Add a comment to a task |
wrike_list_contacts | List users (Wrike calls them 'contacts') |
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
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