Gemini MCP Server

Local setup required. This server has to be cloned and prepared on your machine before you register it in Claude Code.
1

Set the server up locally

Run this once to clone and prepare the server before adding it to Claude Code.

Run in terminal
git clone https://github.com/shenyunhuan/gemini_mcp
cd gemini_mcp

Then follow the repository README for any remaining dependency or build steps before continuing.

2

Register it in Claude Code

After the local setup is done, run this command to point Claude Code at the built server.

Run in terminal
claude mcp add gemini-mcp -- node "<FULL_PATH_TO_GEMINI_MCP>/dist/index.js"

Replace <FULL_PATH_TO_GEMINI_MCP>/dist/index.js with the actual folder you prepared in step 1.

README.md

Bridge connecting the Model Context Protocol to the Gemini CLI via ACP

gemini_mcp — MCP-to-ACP Bridge

将 Gemini CLI 通过 ACP 协议封装为 MCP 工具,供任何 MCP 客户端调用。

简体中文 | English

架构

MCP Client ──MCP/stdio──→ geminimcp (Python) ──ACP/JSON-RPC──→ gemini --acp (Node.js) ──→ Google API
              (FastMCP)        (AcpBridge)          (长驻子进程)

MCP Client: Claude Code, Codex, Cursor, VS Code, Claude Desktop 等。

起源

2025 年 8 月我就用 FastMCP 封装过 Gemini CLI 的 MCP,能通信但体验不佳。后来在论坛上看到 GuDaStudio/geminimcp原帖),思路类似,感谢分享。

用了一段时间孙佬的 MCP 后,发现每次调用都要等挺久,翻了下源码才知道它底层是 gemini --prompt -o stream-json——每次请求都 spawn 一个新进程、解析文本输出,冷启动开销避不开。

然后某天跑 gemini --help 的时候,注意到有个 --acp 标志。查了一下发现这是 Gemini CLI 内置的 Agent Client Protocol——一套完整的 JSON-RPC 协议,支持有状态会话、流式响应、权限管理和多模态输入。

也就是说,不用每次"调命令行"了,可以起一个常驻进程,直接和 Gemini Agent 对话。

于是我们基于 ACP 重新设计了整个 bridge:

  • 长连接复用: 常驻 gemini --acp 进程,消除冷启动开销
  • 协议级通信: JSON-RPC over stdin,不受 CLI 输出格式变更影响,无需 shell 转义
  • 上下文隔离: 复杂任务在子进程内闭环,不膨胀主 Agent 上下文
  • 工具库内聚: Gemini 自带的 30+ 工具在 ACP 内部调用,无需暴露给上层
  • 自主容错: ACP 内部处理命令失败、权限审批等异常
  • 结构化返回: 除文本外还收集 thought、tool_calls、plan
  • 多模态: 支持 image 和 resource ContentBlock
  • 标准协议: 任何 MCP 客户端都可直接对接

ACP vs MCP

维度 MCP (Model Context Protocol) ACP (Agent Client Protocol)
层级 协议/连接层 代理/执行层
侧重 Agent 能用什么外部工具 Agent 如何自主执行任务
通信 单次工具调用 有状态会话(多轮交互)
典型场景 读 GitHub issue 列表 自主修复一个 auth bug

geminimcp 的作用就是在两层之间架桥:外部通过 MCP 发指令,内部通过 ACP 让 Gemini 自主执行。

技术栈

  • Python 3.12+ + FastMCP (MCP server 框架)
  • uv — 打包、依赖管理、uv tool install 一键部署
  • Pydantic — 参数验证和类型注解
  • threading + queue — 子进程 I/O 跨平台超时控制

安装

前置依赖:

# uv (包管理)
# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
# Linux/macOS
curl -LsSf https://astral.sh/uv/install.sh | sh

# Gemini CLI
npm install -g @google/gemini-cli

快速安装

Claude Code:

claude mcp add gemini -s user --transport stdio -- uvx --from git+https://github.com/shenyunhuan/gemini_mcp.git geminimcp

此命令自动下载并注册,无需预装。

手动安装

# 从 GitHub 安装
uv tool install --from git+https://github.com/shenyunhuan/gemini_mcp.git geminimcp

# 或 clone 后本地安装
git clone https://github.com/shenyunhuan/gemini_mcp.git
uv tool install --from gemini_mcp geminimcp

注册到 Claude Code:

claude mcp add gemini -s user --transport stdio -- geminimcp

可选:将 .claude/CLAUDE.md 合并到 ~/.claude/CLAUDE.md,将 .claude/rules/mcp-agents.md 复制到 ~/.claude/rules/,帮助 Claude 更好地使用 Gemini MCP。

Codex (~/.codex/config.toml):

[mcp_servers.gemini]
command = "geminimcp"

或执行:

codex mcp add gemini -- geminimcp

更新:

uv tool install --reinstall --force --from git+https://github.com/shenyunhuan/gemini_mcp.git geminimcp

Cross-MCP Chaining

geminimcp 支持与其他 MCP agent 互调,实现 3 层链式调用。

Gemini → Codex (~/.gemini/settings.jsonmcpServers):

"codex": {
  "command": "codex",
  "args": ["mcp-server"]
}

或执行:

gemini mcp add --scope user codex codex mcp-server

Codex → Gemini (~/.codex/config.toml):

[mcp_servers.gemini]
command = "geminimcp"

或执行:

codex mcp add gemini -- geminimcp

配置双向后:

  • Client → Codex → Gemini: Codex 内部调用 Gemini MCP
  • Client → Gemini → Codex: Gemini 内部调用 Codex MCP

MCP Tools

Tool 用途
gemini 发送 prompt,收集 Gemini 响应(主工具)
list_models 列出可用模型、approval mode 和 bridge 状态
list_sessions 列出活跃 ACP session
reset_session 重置指定或全部 session

`gemini` 主要参数

参数 默认值 说明
PROMPT (必需) 发给 Gemini 的指令
cd (必需) 工作区根目录
model gemini-3.1-pro-preview 模型选择(flash / pro)
approval_mode yolo 工具审批模式:yolo / auto_edit / default / plan
image_path "" 图片路径(vision 分析)
context "" 注入 ACP resource ContentBlock 的文本上下文
allowed_mcp_servers None 过滤 Gemini 加载的 MCP server(None=全部)

设计要点

  • 跨平台 I/O: 后台线程 + Queue 实现带超时的非阻塞管道读取(pipe readline 在所有平台都无原生 timeout)
  • 会话管理: per-workspace session, 8-turn eviction + session/load 恢复
  • Approval Mode: 4 种审批模式(yolo/auto_edit/default/plan),支持 fallback
  • 429 降级: pro 容量不足时自动重试 flash
  • MCP 透传: 自动发现 user/project/extension 的 MCP server 配置,注入 ACP session(支持 stdio/http/sse)
  • MCP 过滤: allowed_mcp_servers 参数按名称过滤透传

Tools (4)

geminiSend a prompt to Gemini and collect the response.
list_modelsList available models, approval mode, and bridge status.
list_sessionsList active ACP sessions.
reset_sessionReset a specific or all sessions.

Configuration

claude_desktop_config.json
{"mcpServers": {"gemini": {"command": "geminimcp"}}}

Try it

Use Gemini to analyze the current project structure and suggest improvements.
List all active Gemini ACP sessions and reset the current one.
Run a task using the gemini tool with the auto_edit approval mode.
Check which Gemini models are currently available and their bridge status.

Frequently Asked Questions

What are the key features of Gemini MCP?

Long-lived process reuse to eliminate cold-start overhead. JSON-RPC over stdin for protocol-level communication. Support for multi-modal inputs including images and resources. Built-in tool execution via Gemini's internal 30+ tools. Cross-MCP chaining for multi-agent workflows.

What can I use Gemini MCP for?

Executing complex, multi-turn AI tasks that require stateful sessions. Integrating Gemini's autonomous agent capabilities into Claude Desktop or Cursor. Performing vision-based analysis on local images using Gemini's multi-modal support. Chaining multiple MCP agents together for advanced automation workflows.

How do I install Gemini MCP?

Install Gemini MCP by running: claude mcp add gemini -s user --transport stdio -- uvx --from git+https://github.com/shenyunhuan/gemini_mcp.git geminimcp

What MCP clients work with Gemini MCP?

Gemini MCP works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Turn this server into reusable context

Keep Gemini MCP docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Need the old visual installer? Open Conare IDE.
Open Conare