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Oluwatunmise-olat/mcp-server-logs-sieve

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[![mcp-server-logs-sieve MCP server](https://glama.ai/mcp/servers/Oluwatunmise-olat/mcp-server-logs-sieve/badges/score.svg)](https://glama.ai/mcp/servers/Oluwatunmise-olat/mcp-server-logs-sieve) 📇 ☁️ 🏠 🍎 🪟 🐧 - Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch

<p><strong>Oluwatunmise-olat/mcp-server-logs-sieve</strong> is a search MCP server that [![mcp-server-logs-sieve MCP server](https://glama.ai/mcp/servers/Oluwatunmise-olat/mcp-server-logs-sieve/badges/score.svg)](https://glama.ai/mcp/servers/Oluwatunmise-olat/mcp-server-logs-sieve) 📇 ☁️ 🏠 🍎 🪟 🐧 - Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch.</p> <h2>How to Use Oluwatunmise-olat/mcp-server-logs-sieve</h2> <p>To use Oluwatunmise-olat/mcp-server-logs-sieve, you need an MCP-compatible client such as Claude Desktop, Cursor, or VS Code with an MCP extension. Once configured, the AI model can automatically use the tools provided by this server.</p>

Key Features

  • Open source with community contributions
  • Cloud deployment support
  • Web search integration
  • Structured result parsing