Oluwatunmise-olat/mcp-server-logs-sieve

Overview

A Model Context Protocol (MCP) server that lets AI assistants filter and analyze Cloud Platform logs by prefix and pattern. It runs as a local server and exposes log filtering capabilities through the MCP interface.

Best for

Best for
Developers who want to query cloud logs from an AI assistant using the Model Context Protocol

Use cases

• Filter cloud logs by specific prefixes to narrow down relevant entries
• Analyze log patterns programmatically via an AI assistant
• Integrate log analysis into MCP-compatible development workflows

Notes

A Model Context Protocol (MCP) server that lets AI assistants filter and analyze Cloud Platform logs by prefix and pattern. It runs as a local server and exposes log filtering capabilities through the MCP interface.

2 stars on GitHub. Last updated 2026-04-22. Licensed MIT.

Use cases

• Filter cloud logs by specific prefixes to narrow down relevant entries
• Analyze log patterns programmatically via an AI assistant
• Integrate log analysis into MCP-compatible development workflows

Pros

• Provides structured log filtering through a standard protocol
• Written in TypeScript for type safety and maintainability
• Lightweight with a focused feature set

Cons

• Very early stage with only 2 GitHub stars and limited community adoption
• Requires running a separate MCP server alongside your AI tool
• Documentation and usage examples are minimal

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.