Gemini CLI Integrates with FastMCP to Simplify MCP Server Development
Gemini-FastMCP

September 22, 2025

Developers building Model Context Protocol (MCP) servers just got a productivity boost. Gemini CLI now integrates directly with FastMCP, the popular Python library for MCP server development. This collaboration between two open-source projects makes it easier than ever to connect your custom tools and prompts to Gemini CLI.

What’s New?

As of FastMCP v2.12.3 , developers can install and configure MCP servers in a single step:

  
    fastmcp install gemini-cli server.py

This command automatically:

  • Installs your local STDIO transport MCP server.

  • Handles configuration and dependency management.

  • Connects your server to Gemini CLI’s built-in MCP system (gemini mcp add).

That means less setup overhead and a faster path from code to a working server.

Why It Matters

MCP servers enhance Gemini CLI by giving it access to tools, actions, and context it wouldn’t normally have. With FastMCP’s Python-first design (decorators + type hints), building these servers is both intuitive and efficient.

  • Tools : Let Gemini CLI perform tasks like computations, API calls, or database operations.

  • Prompts : Define reusable prompts in FastMCP and access them as slash commands in Gemini CLI (e.g., /summarize).

This transforms Gemini CLI into a powerful, workflow-aware assistant, directly integrated into your terminal.

How to Get Started

  1. Install Gemini CLI

  
    npm install -g @google/gemini-cli@latest

  1. Install FastMCP (v2.12.3 or later)

  
    pip install fastmcp>=2.12.3

  1. Create your server.py with custom tools and prompts.

  2. Integrate with Gemini CLI:

  
    fastmcp install gemini-cli server.py

  1. Launch the Gemini CLI and verify using/mcp.

For advanced setups, refer to the official FastMCP integration documentation.