gemini-mcp-tool MCP — Casos de uso, Instalar & Demo ao vivo

Por que usar

Principais recursos

Tap Gemini's ~1M-token context from within Claude
@ syntax references files and directories
sandbox-test runs code safely in Gemini's sandbox
Slash commands in Claude Code (/analyze, /sandbox, /help, /ping)
Simple claude mcp add install

Demo ao vivo

Como fica na prática

gemini-mcp-tool.replay ▶ pronto

0/0

Instalar

Escolha seu cliente

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

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

Abra Claude Desktop → Settings → Developer → Edit Config. Reinicie após salvar.

~/.cursor/mcp.json · .cursor/mcp.json

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

Cursor usa o mesmo esquema mcpServers que o Claude Desktop. Config de projeto vence a global.

VS Code → Cline → MCP Servers → Edit

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

Clique no ícone MCP Servers na barra lateral do Cline, depois "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

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

Mesmo formato do Claude Desktop. Reinicie o Windsurf para aplicar.

~/.continue/config.json

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

O Continue usa um array de objetos de servidor em vez de um map.

~/.config/zed/settings.json

{
  "context_servers": {
    "gemini-mcp-tool": {
      "command": {
        "path": "npx",
        "args": [
          "-y",
          "gemini-mcp-tool"
        ]
      }
    }
  }
}

Adicione em context_servers. Zed recarrega automaticamente ao salvar.

claude mcp add gemini-mcp-tool -- npx -y gemini-mcp-tool

Uma linha só. Verifique com claude mcp list. Remova com claude mcp remove.

Casos de uso

Usos do mundo real: gemini-mcp-tool

How to analyze a massive file that doesn't fit Claude's context

👤 Developers working with giant logs, codebases, or documents ⏱ ~15 min intermediate

Quando usar: Claude can't fit the file, but Gemini can.

Pré-requisitos

Gemini CLI + Google API key — npm i -g @google/gemini-cli; then gemini config set with your key from aistudio.google.com
Install MCP — claude mcp add gemini-cli -- npx -y gemini-mcp-tool

Fluxo

Offload analysis

ask-gemini: @/var/log/app-2026-04.log — find all 5xx errors clustered around deploys in the last 72h, produce a table.✓ Copiado

→ Gemini analyzes, returns compact summary
Drill in with Claude

Based on Gemini's summary, focus on the cluster around 2026-04-12 14:30 UTC and propose a root cause.✓ Copiado

→ Claude reasons over the summary

Resultado: Result that neither model alone could produce in one shot.

Armadilhas

Sending sensitive logs to Gemini — Strip PII before invoking ask-gemini or use a self-hosted model instead
Token cost on Gemini Pro for huge inputs — Use Gemini Flash for cost; Pro only when accuracy matters

Combine com: filesystem

How to review an entire small codebase in one shot

👤 Engineers auditing small services ⏱ ~20 min intermediate

Quando usar: You want a holistic review that considers every file at once.

Fluxo

Hand the whole repo

ask-gemini: @./src/ — review for structural issues, repeated patterns that should be abstracted, and dead code.✓ Copiado

→ Repo-wide observations
Triage suggestions

Of those, which 3 are highest impact? Name the files.✓ Copiado

→ Prioritized list

Resultado: A reviewer's first pass produced in one prompt.

Armadilhas

Gemini loses detail on huge repos — If your src/ exceeds 500k tokens, narrow to subdirectories

Combine com: github

How to execute unsafe code in Gemini's sandbox

👤 Devs testing untrusted code snippets ⏱ ~5 min beginner

Quando usar: You want to try running something without letting it touch your machine.

Fluxo

Submit to sandbox

sandbox-test: run this Python script [paste] — report stdout/stderr and exit code.✓ Copiado

→ Output without side effects on your machine

Resultado: Safe execution result.

Armadilhas

Sandbox doesn't have internet by default for most snippets — Check Gemini CLI sandbox docs for connectivity options

Combinações

Combine com outros MCPs para 10× de alavancagem

gemini-mcp-tool + filesystem

Pick files locally, pass @-references to Gemini

List all *.log files modified today via filesystem, then ask-gemini @ each to find anomalies.✓ Copiado

gemini-mcp-tool + github

Review a PR by handing the full diff to Gemini's wide context

Fetch PR #4421 diff via github MCP, then ask-gemini to critique the whole diff as one coherent change.✓ Copiado

Ferramentas

O que este MCP expõe

Ferramenta	Entradas	Quando chamar	Custo
ask-gemini	prompt: str (may include @path refs), model?: 'flash'\|'pro'	Large-context analysis	Gemini API call — Flash ~$0.075/1M input, Pro higher
sandbox-test	code: str, language?	Run untrusted code	Gemini sandbox billing
Ping		Sanity-check connection	free

Custo e limites

O que custa rodar

Cota de API: Gemini AI Studio has free tier; paid tier is pay-per-token
Tokens por chamada: Large — this is the whole point. Plan for 100k-500k tokens per call.
Monetário: Gemini 2.5 Flash ~$0.075 per 1M input; Pro is ~20x more
Dica: Default to Flash. Escalate to Pro only when Flash is clearly wrong.

Segurança

Permissões, segredos, alcance

Escopos mínimos: Gemini API key

Armazenamento de credenciais: Gemini CLI stores key in ~/.config/gemini/

Saída de dados: File content goes to Google Gemini; subject to Google's Gemini API data policy

Nunca conceda: Don't pass secrets in @-referenced files — they go straight to Google

Files sent via @ are uploaded to Gemini — treat as you would any cloud upload.

Solução de problemas

Erros comuns e correções

gemini-cli not found

Install globally: npm i -g @google/gemini-cli; ensure npm global bin is on PATH.

Verificar: which gemini

401 from Gemini

Run gemini config to set your API key from aistudio.google.com.

Verificar: gemini 'hello'

Token limit exceeded

Even Gemini has caps; trim @-references or use search to narrow files first.

Sandbox timeout

Long-running code needs higher timeout; or run locally in a container instead.

Alternativas

gemini-mcp-tool vs. outros

Alternativa	Quando usar	Troca
deep-research MCP	You want autonomous research, not raw Gemini access	Different shape; includes web search
openrouter MCP	You want multi-model access via one key	No @-file syntax; less convenient for big-context

Mais

Recursos

📖 Leia o README oficial no GitHub

🐙 Ver issues abertas

🔍 Ver todos os 400+ servidores MCP e Skills