How do I install the gemini mcp tool mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `AGY_CLI_PATH` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Gemini MCP Tool MCP Server

MCP server for Gemini CLI integration

Local serverstdioPython

What is the Gemini MCP Tool MCP Server?

Gemini MCP Tool becomes available to MCP clients through the Gemini MCP Tool. MCP server for Gemini CLI integration.

What Gemini MCP Tool does

This is a simple Model Context Protocol (MCP) server that allows AI assistants to interact with the Gemini CLI. It enables the AI to leverage the power of Gemini's massive token window for large analysis, especially with large files and codebases using the @ syntax for direction.

Requirements

Practical notes

Maintained by jamubc, written in Python.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Gemini MCP Tool MCP Server

{
  "mcpServers": {
    "gemini-cli": {
      "command": "npx",
      "args": [
        "-y",
        "gemini-mcp-tool"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Frequently asked questions

MCP server for Gemini CLI integration Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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