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ClickUp mit Gemini verbinden — über MCP

Drive ClickUp (project management) from any AI agent: spaces, folders, lists, tasks, comments, time tracking, custom fields, teams, members. 16 tools, API token auth.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

No credit card · 7-day trial · Self-host alternative available

ClickUp

MCP connector

ClickUp

Drive ClickUp (project management) from any AI agent: spaces, folders, lists, tasks, comments, time tracking, custom fields, teams, members. 16 tools, API token auth.

Tools

15

Region

INTL

Category

project-management

Authentication

API Key

Required env vars

CLICKUP_API_TOKEN
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the ClickUp 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

Drive ClickUp (project management) from any AI agent: spaces, folders, lists, tasks, comments, time tracking, custom fields, teams, members. 16 tools, API token auth.

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

ClickUp + Gemini

Drive ClickUp (project management) from any AI agent: spaces, folders, lists, tasks, comments, time tracking, custom fields, teams, members. 16 tools, API token auth.

Voraussetzungen

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

CLICKUP_API_TOKEN

Schritt 1 — Zugangsdaten holen

com/api).

Setup:

  1. Sign in to ClickUp → top-right avatar → Settings → Apps → API Token → Generate (personal token).
  2. Copy the token (starts with pk_). Set CLICKUP_API_TOKEN.

Authentication: header Authorization: ${CLICKUP_API_TOKEN} — no Bearer or Token prefix, just the raw key. The adapter sets this via API_KEY profile.

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

Verfügbare Tools

ToolWhat it does
clickup_get_authorized_userReturn the authenticated user: id, username, email, color, profilePicture, initials
clickup_list_teamsList workspaces (called 'teams' in the API — confusingly different from per-workspace 'teams' which are user groups)
clickup_list_spacesList spaces in a workspace
clickup_list_foldersList folders in a space
clickup_list_listsList lists in a folder
clickup_list_folderless_listsList lists that live directly in a space (no parent folder)
clickup_list_tasksList tasks in a list with filtering
clickup_get_taskFetch a single task by ID with all fields including custom_fields, checklists, comments_count, dependencies, watchers
clickup_create_taskCreate a task in a list
clickup_update_taskUpdate a task
clickup_delete_taskDelete a task
clickup_create_task_commentAdd a comment to a task
clickup_list_task_commentsList comments on a task
clickup_get_list_custom_fieldsList custom fields available on a list, with their IDs and types
clickup_list_team_membersList members of a workspace

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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