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Summary
Manage Plane (open-source project management) workspaces, projects, issues, cycles, modules from any AI agent. 10 tools, API key auth.
Try asking
Example prompts for Plane
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Plane, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Plane + Gemini
Manage Plane (open-source project management) workspaces, projects, issues, cycles, modules from any AI agent. 10 tools, API key auth.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
PLANE_API_KEY
Step 1 — Get credentials
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: ${PLANE_API_KEY}.
Hierarchy: Workspace → Project → Issue → Sub-issue. Cycles + Modules are issue containers within a project for sprint planning / feature grouping.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Gemini
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —Planeshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_IDto thetoolsarray of your request with the sameX-API-Keyheader.
Available 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
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.
Next steps
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