# mcp-server-logs-sieve

> Use this tool when you need to simplify log analysis across multiple platforms, such as GCP Cloud Logging, AWS CloudWatch, and Elasticsearch, and query logs in plain English without writing complex filter expressions. It connects MCP-compatible clients to existing log infrastructure, enabling efficient log querying, summarization, and tracing. Ideal for developers and operators seeking to streamline log analysis and troubleshooting workflows.

Canonical page: https://skillsregistry.net/skills/oluwatunmise-olat-mcp-server-logs-sieve  
JSON: https://api.skillsregistry.net/v1/skills/oluwatunmise-olat-mcp-server-logs-sieve

## Description

An MCP server that connects Claude (or any MCP compatible client) to your existing log infrastructure. Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch, Azure Log Analytics, Grafana Loki, and Elasticsearch without writing filter expressions or leaving your editor.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cn8v8nfrjs)
- **Repository:** <https://github.com/Oluwatunmise-olat/mcp-server-logs-sieve>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "oluwatunmise-olat-mcp-server-logs-sieve"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oluwatunmise-olat-mcp-server-logs-sieve` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oluwatunmise-olat-mcp-server-logs-sieve/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt