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Oluwatunmise-olat/mcp-server-logs-sieve

v0.1.3 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 2mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

aws-cloudwatch azure azuremonitor cloud-providers datadog elasticsearch
+5 more
gcp grafana-loki mcp-server mcp-servers mcp-tools

Summary

AI summary

First public release of an MCP server for querying, summarizing, and tracing logs across multiple cloud backends.

Full changelog

First public release of mcp-server-logs-sieve.

An MCP server that lets you query, summarize, and trace logs in plain English across multiple cloud backends — without writing filter expressions or leaving your editor.

Supported backends

  • GCP Cloud Logging
  • AWS CloudWatch
  • Azure Log Analytics
  • Grafana Loki
  • Elasticsearch

Tools

  • query_logs — filter by severity, time range, text, and resource type
  • summarize_logs — aggregate error patterns and severity counts
  • trace_request — follow a request flow across services
  • list_log_sources — discover what logs exist in a scope

Installation

npx mcp-server-logs-sieve --provider gcp

Full setup instructions in the https://github.com/Oluwatunmise-olat/mcp-server-logs-sieve#readme.

View diff on GitHub

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About Oluwatunmise-olat/mcp-server-logs-sieve

Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch, Azure Log Analytics, Grafana Loki, and Elasticsearch

All releases →

Related context

Beta — feedback welcome: [email protected]