No install? Use cloud.anythingmcp.com directly.
Sign in, install the Plane 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 Plane (open-source project management) workspaces, projects, issues, cycles, modules from any AI agent. 10 tools, API key auth.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Plane klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Plane + Gemini
Manage Plane (open-source project management) workspaces, projects, issues, cycles, modules from any AI agent. 10 tools, API key auth.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
PLANE_API_KEY
Schritt 1 — Zugangsdaten holen
This connector wraps the Plane REST API v1 (api.plane.so/api/v1 — or your self-hosted host).
Setup:
- Log into your Plane instance → top-right avatar → API Tokens → Create new token.
- Note the workspace slug (the part of URLs like
app.plane.so/<slug>/projects). - Set
PLANE_API_KEY. For self-hosted, also setPLANE_HOST(e.g.https://plane.yourdomain.com) — defaults to cloud (api.plane.so).
Authentication: X-API-Key: ${PLANE_API_KEY}.
Hierarchy: Workspace → Project → Issue → Sub-issue. Cycles + Modules are issue containers within a project for sprint planning / feature grouping.
…(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 —Planesollte 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 |
|---|---|
plane_list_workspaces | List all workspaces the API key can access |
plane_list_projects | List projects in a workspace |
plane_get_project | Get one project |
plane_list_issues | List issues in a project |
plane_get_issue | Get one issue with full description + custom properties |
plane_create_issue | Create an issue |
plane_update_issue | Update an issue (PATCH semantics) |
plane_list_states | List states (issue statuses) defined in a project |
plane_list_cycles | List cycles (sprints) in a project |
plane_list_modules | List modules (feature groups) in a project |
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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