Connect Gemini CLI to your fenbs board

Connect

1. Open Gemini CLI’s settings file (~/.gemini/settings.json, or the project’s .gemini/settings.json).
2. Add fenbs under mcpServers with the URL below.
3. Start Gemini CLI and run /mcp. A browser opens on fenbs; sign in, tick what it may do, approve.
4. Ask what is on your board.

{
  "mcpServers": {
    "fenbs": {
      "httpUrl": "https://fenbs.ai/api/mcp"
    }
  }
}

If the client cannot open a browser, or only speaks stdio, use the fenbs-mcp bridge with a token from Settings, “Connect an AI assistant”: FENBS_TOKEN=… npx fenbs-mcp. It forwards to the same endpoint and the token holds the same role.

What it can do once connected

• Read the board: fenbs_list_items with filters by lane, kind or free text, and fenbs_get_item for one task with its comments.
• Add tasks with fenbs_create_item — a Feature, an Enhancement or a Bug, in a lane, with a priority.
• Move and edit with fenbs_update_item: change the lane, the title, the note, the kind or the priority.
• Comment with fenbs_comment, and search across everything it can see with fenbs_search.
• Read your AI context with fenbs_get_context and add to it with fenbs_add_context_note.
• Ask fenbs_whoami first: it answers who the assistant is acting as and what it may do.

What it cannot do

Anything you cannot. The assistant acts as you and holds your role on the board, narrowed by the scopes you ticked: read, write, comment. A refusal is a sentence it can repeat to you. Revoke its token in Settings and it stops at once; everything it did stays in the history under its name.