原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Ask Gemini

作者:Lykhoyda版本 2.0.0i★ –i在你的电脑上运行
注册名称io.github.Lykhoyda/ask-gemini

安装

概览

作者提供的说明(英文原文)

Bridge Claude with Gemini CLI for AI-to-AI collaboration, code review, and second opinions

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: GMCPT_TIMEOUT_MS, GMCPT_LOG_LEVEL

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "ask-gemini": {
      "command": "npx",
      "args": [
        "-y",
        "@ask-llm/gemini-mcp"
      ],
      "env": {
        "GMCPT_TIMEOUT_MS": "your-value",
        "GMCPT_LOG_LEVEL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add ask-gemini --env GMCPT_TIMEOUT_MS=your-value --env GMCPT_LOG_LEVEL=your-value -- npx -y @ask-llm/gemini-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "ask-gemini": {
      "command": "npx",
      "args": [
        "-y",
        "@ask-llm/gemini-mcp"
      ],
      "env": {
        "GMCPT_TIMEOUT_MS": "your-value",
        "GMCPT_LOG_LEVEL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "ask-gemini": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ask-llm/gemini-mcp"
      ],
      "env": {
        "GMCPT_TIMEOUT_MS": "your-value",
        "GMCPT_LOG_LEVEL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • GMCPT_TIMEOUT_MS env
    Timeout for Gemini CLI execution in milliseconds (default: 300000 = 5 minutes)
  • GMCPT_LOG_LEVEL env
    Log verbosity: debug, info, warn, error (default: warn)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Lykhoyda 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1395 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1395 个服务器的 58% 更新
  • 基础检查结果等于或优于此分类中其他 1395 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Ask Gemini 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(2.0.0)于40天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Ask LLM

Second opinions for coding agents.

Get a second opinion on your code or plan, inside your coding assistant, using the model subscriptions you already have.

For individual developers and small teams who already use a coding assistant and pay for another model subscription: ask a different vendor's model to review your changes or challenge your plan, without API keys, copy-paste, or leaving the session.

You:    ask codex to review src/auth.ts for security issues

Codex: ⚠ verifyToken() compares tokens with === — not timing-safe (line 42) ⚠ the session cookie is missing a SameSite attribute Claude: Good catches — applying both fixes to src/auth.ts.

Install

You need Node.js 24+ on Linux or macOS. Before your first review, both your coding assistant (for example Claude Code) and the provider you will consult (for example Codex) must be installed and signed in. Ask LLM configures the connection; it does not install providers or sign you in. If a provider CLI such as Codex has never been signed in on this machine, sign in first and rerun setup.

npm i -g @ask-llm/mcp && ask-llm setup

Setup asks you to confirm each detected host and workflow. Inspect the preview, confirm your assistant's registration and workflows, decline the others, then follow any printed manual steps. Restart your assistant or start a new session in your project.

Your first review

With both Claude Code and Codex installed and signed in, open Claude Code in your project and ask:

Ask Codex to review my staged changes for bugs and missing error handling. Check each finding against the source before proposing fixes.

Working in Codex with a Claude subscription? Ask Claude instead. Choose a provider from a different vendor than your current assistant. A successful review names the reviewer and model, cites relevant code, and reports findings or says it found none. Your assistant applies changes after you decide what to accept. If the request fails, run ask-llm doctor and follow the troubleshooting guide for your selected assistant and reviewer. Warnings about providers you do not use do not require installing them or adding API keys.

For plans, try: “Ask Claude to challenge this plan: what assumptions could fail, and what simpler approach would fit our constraints?”

After an on-demand review, pair review can add ongoing feedback. Pairing requires explicit opt-in; setup leaves it off. Grok CLI supports a per-edit hook with Codex Sol by default or Claude Opus 5.5 via reviewer: claude; shell reviews cover command text only.

Supported hosts

A host is the assistant you work in; a provider is the model you consult.

HostExperience
Claude CodeReviews, plan critique, comparisons; isolated reviewers and opt-in per-edit pairing
Codex, Cursor, Gemini CLITools and portable workflows; pairing on demand
Grok BuildTools and portable workflows; opt-in per-edit pairing
AntigravityTools; setup prints a manual step for workflows
Pi 0.83.0+Native tools and portable workflows; opt-in per-edit pairing
Claude DesktopTools only
OpenCodeTools and portable workflows; setup verified with fixtures only

See host compatibility for the complete matrix and manual setup limits, including existing Codex registrations.

Supported providers

ProviderAccess
CodexYour authenticated Codex CLI/account
ClaudeYour authenticated Claude Code account; consult it from a host other than Claude Code
GrokAuthenticated Grok Build, an exact Cursor model, or the explicit metered xAI API option
AntigravityYour authenticated agy subscription; execution is off by default, and opt-in has no read-only guarantee
OllamaLocal models on your machine
GeminiAn eligible Gemini Code Assist Standard/Enterprise seat

Cursor Agent can also consult exact models from your Cursor catalog. It is a connection route, with usage governed by your Cursor plan.

Trust and cost

Review runs use read-only provider controls; the assistant you work in remains the editor. Antigravity refuses execution until explicitly enabled and cannot guarantee read-only access after opt-in. Review only material you are allowed to share with the selected provider.

Calls consume your existing provider plan's quota or follow that account's billing. Grok's xAI API is a separate, metered option requiring an API key; Ask LLM never enables billing or overage for you. Ollama supports local inference. Ask LLM sends no telemetry; provider and host data policies still apply.

Agreement between models is not proof of correctness. Validate findings against the code, tests, and your requirements. See data flow and costs and fallbacks.

Migrating from @ask-llm/*

Follow the migration guide before retiring earlier registrations.

Upgrade or remove · Troubleshooting · Documentation

Contributions: CONTRIBUTING.md. Licensed under MIT.

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