Connector guide2-minute read6 MCP toolsEN · DE · IT

TickTick mit Gemini verbinden — über MCP

Drive TickTick (cross-platform task manager) from any AI agent: projects, tasks, completed-tasks reporting. 6 tools, OAuth2 Bearer auth.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

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

TickTick

MCP connector

TickTick

Drive TickTick (cross-platform task manager) from any AI agent: projects, tasks, completed-tasks reporting. 6 tools, OAuth2 Bearer auth.

Tools

6

Region

INTL

Category

Project Management

Authentication

Bearer Token

Required env vars

TICKTICK_ACCESS_TOKEN
Install in one click on Cloud

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  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Open source AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

Skip the install. Get this working in under 2 minutes.

Start a free trial on cloud.anythingmcp.com, add the TickTick 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.

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Summary

Drive TickTick (cross-platform task manager) from any AI agent: projects, tasks, completed-tasks reporting. 6 tools, OAuth2 Bearer auth.

Frag einfach

Beispiel-Prompts für TickTick

Klick auf einen Prompt, um ihn zu kopieren. In Claude, ChatGPT, Cursor, Gemini, Copilot oder OpenClaw einfügen — und gegen diesen Konnektor laufen lassen.

TickTick · live via MCP
Teilen
Opus 4.7

Claude ist KI und kann Fehler machen. Bitte Antworten gegenprüfen.

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

TickTick + Gemini

Drive TickTick (cross-platform task manager) from any AI agent: projects, tasks, completed-tasks reporting. 6 tools, OAuth2 Bearer auth.

Voraussetzungen

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

TICKTICK_ACCESS_TOKEN

Schritt 1 — Zugangsdaten holen

ticktick.com).

Setup:

  1. Register an app at https://developer.ticktick.comManage Apps → New App.
  2. Note Client ID and Client Secret, and configure a redirect URL.
  3. Run OAuth2 authorization-code flow with scopes tasks:read tasks:write.
  4. Set TICKTICK_ACCESS_TOKEN to the obtained token (lifetime varies; refresh externally).

Authentication: Authorization: Bearer ${TICKTICK_ACCESS_TOKEN}.

Project hierarchy: Inbox + user-created projects (lists) → tasks → subtasks (items).

Date format: ISO 8601 with timezone (e.g. 2026-03-15T15:30:00+0000).

Priority: 0 (none), 1 (low), 3 (medium), 5 (high).

…(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 — TickTick 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
ticktick_get_user_projectsList the user's projects (lists)
ticktick_get_project_with_dataGet a project with its tasks and columns
ticktick_get_taskGet a single task by project + task ID
ticktick_create_taskCreate a task
ticktick_update_taskUpdate a task
ticktick_complete_taskMark a task complete

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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