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MCP on AWS Lambda

por awslabs · awslabs/run-model-context-protocol-servers-with-aws-lambda

Run existing stdio MCP servers inside AWS Lambda functions with the official AWS Labs wrapper.

MCP on AWS Lambda is a MCP server that run existing stdio mcp servers inside aws lambda functions with the official aws labs wrapper Use it from Claude Code, Cursor, Codex, or any MCP-compatible / skills-compatible agent.

Por que usar

Principais recursos

Demo ao vivo

Como fica na prática

run-mcp-with-aws-lambda.replay ▶ pronto
0/0

Instalar

Escolha seu cliente

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "run-mcp-with-aws-lambda": {
      "command": "python",
      "args": [
        "-m",
        "mcp_lambda"
      ],
      "_inferred": true
    }
  }
}

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

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "run-mcp-with-aws-lambda": {
      "command": "python",
      "args": [
        "-m",
        "mcp_lambda"
      ],
      "_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": {
    "run-mcp-with-aws-lambda": {
      "command": "python",
      "args": [
        "-m",
        "mcp_lambda"
      ],
      "_inferred": true
    }
  }
}

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

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "run-mcp-with-aws-lambda": {
      "command": "python",
      "args": [
        "-m",
        "mcp_lambda"
      ],
      "_inferred": true
    }
  }
}

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

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "run-mcp-with-aws-lambda",
      "command": "python",
      "args": [
        "-m",
        "mcp_lambda"
      ]
    }
  ]
}

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

~/.config/zed/settings.json
{
  "context_servers": {
    "run-mcp-with-aws-lambda": {
      "command": {
        "path": "python",
        "args": [
          "-m",
          "mcp_lambda"
        ]
      }
    }
  }
}

Adicione em context_servers. Zed recarrega automaticamente ao salvar.

claude mcp add run-mcp-with-aws-lambda -- python -m mcp_lambda

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

Casos de uso

Usos do mundo real: MCP on AWS Lambda

Use MCP on AWS Lambda for its core workflow

👤 Engineers and power users ⏱ ~15 min intermediate

Quando usar: You want MCP server integration for cloud work without writing glue code.

Pré-requisitos
  • Repo installed / cloned — See repo README
Fluxo
  1. Install
    Set up the MCP on AWS Lambda MCP server.✓ Copiado
    → MCP server listed in your agent config
  2. Invoke
    Use MCP on AWS Lambda to run a representative task in cloud.✓ Copiado
    → Tool call succeeds; result returned

Resultado: Real cloud work completed via MCP on AWS Lambda with one chat.

Armadilhas
  • Auth/credential setup is the most common blocker. — Follow the repo README for env vars and tokens.
Combine com: filesystem

Combinações

Combine com outros MCPs para 10× de alavancagem

run-mcp-with-aws-lambda + filesystem

Pair with filesystem for cloud workflows that need local file IO.

Use MCP on AWS Lambda together with filesystem.✓ Copiado

Ferramentas

O que este MCP expõe

FerramentaEntradasQuando chamarCusto
primary_call task-specific For the main use case Varies

Custo e limites

O que custa rodar

Cota de API
Provider rate limits apply
Tokens por chamada
Varies
Monetário
Free / pay provider directly
Dica
Cache results; batch calls.

Segurança

Permissões, segredos, alcance

Armazenamento de credenciais: Use environment variables or your OS keychain.
Saída de dados: Depends on integration

Solução de problemas

Erros comuns e correções

Confirm install and restart your agent.

Mais

Recursos

📖 Leia o README oficial no GitHub

🐙 Ver issues abertas

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