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  3. MCP Server Logs Sieve
MCP Server Logs Sieve logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 8:04:38 PM

MCP Server Logs Sieve

User RatingsBe the first to rate and review this MCP server!
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).Visit Website
logsmonitoringobservabilityclouddeveloper-tools

Query, summarize, and trace logs across five observability backends through plain-language MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "oluwatunmise-olat-mcp-server-logs-sieve": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-logs-sieve@latest"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ“Š More in Monitoring

Overview

Oluwatunmise-olat/mcp-server-logs-sieve MCP server gives AI assistants access to logs from GCP Cloud Logging, AWS CloudWatch, Azure Monitor Logs, Grafana Loki, and Elasticsearch. It provides tools for querying logs, summarizing results, tracing requests, and listing available log sources. The provider is selected when starting the server, and the package can run through npx with Node.js 20 or newer. Reach for it when an agent needs to investigate incidents or find log context across supported observability systems.

Use cases

β€’Investigate failed requests across service logs
β€’Summarize logs for a defined time window
β€’Trace a request by its trace identifier
β€’List available log sources for a provider

Key features

β€’Query logs with natural-language filters
β€’Summarize logs over a selected period
β€’Trace requests by trace ID
β€’List provider log sources
β€’Support GCP, AWS, Azure, Loki, and Elasticsearch

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server Logs Sieve.

Extracted Tool Capabilities
Query logs with natural-language filters
Summarize logs over a selected period
Trace requests by trace ID
List provider log sources
Support GCP, AWS, Azure, Loki, and Elasticsearch

How MCP Server Logs Sieve works

What Oluwatunmise-olat/mcp-server-logs-sieve MCP server does

Oluwatunmise-olat/mcp-server-logs-sieve MCP server connects an MCP-compatible AI assistant to a selected observability backend. It supports Google Cloud Logging, AWS CloudWatch Logs, Azure Monitor Logs, Grafana Loki, and Elasticsearch. The package is intended for natural-language investigation of operational logs, including finding relevant entries, reviewing activity over a time range, identifying recurring failures, and following a request trace.

The server works with one provider at a time. A provider such as gcp, aws, azure, loki, or elasticsearch is supplied when the process starts. Provider-specific authentication and configuration are documented separately in the repository.

How it works

The MCP interface exposes four operations:

  • query_logs retrieves log entries using a provider, scope, time window, and filter.
  • summarize_logs produces a summary of logs for the selected scope and period.
  • trace_request follows a request using a trace identifier.
  • list_log_sources reports the log sources available through the configured provider.

An assistant can use these tools to turn questions such as investigating a failed payment or examining the last day of activity into structured log operations. The same package also includes terminal commands for querying, summarizing, tracing, and listing sources without an MCP client.

Setup and configuration

Oluwatunmise-olat/mcp-server-logs-sieve MCP server requires Node.js 20 or later. A minimal MCP configuration runs the package with npx and chooses a provider:

config.json
{
  "mcpServers": {
    "logs-sieve": {
      "command": "npx",
      "args": ["-y", "mcp-server-logs-sieve@latest", "--provider", "gcp"]
    }
  }
}

The provider value should match the backend being used. Authentication is provider-specific, so the relevant setup guide must be consulted for GCP, AWS, Azure, Loki, or Elasticsearch. Elasticsearch users may also need to set ELASTICSEARCH_COMPAT_VERSION when compatibility headers are required; the README shows 8 as the example value.

On first use, npx downloads the package. The repository notes that this can take about 40 seconds and may cause a client startup timeout. Running the package once beforehand can populate the local npx cache. After changing MCP configuration, restart the client and verify that the server is available.

Tools and capabilities

The server supports five backends but does not present them as a single combined search. The selected provider determines where each operation runs. Querying accepts a provider, scope, time period, and filter; summarization accepts a provider, scope, and period; tracing accepts a provider, scope, and trace ID; and source listing accepts a provider and scope.

For direct terminal use, the package provides query, summarize, trace, and sources commands. Example workflows include querying GCP logs for a phrase over the last hour, summarizing a project’s logs for the last 24 hours, tracing a request by trace ID, and listing sources for a project.

Limitations and notes

Node.js 20 or newer is required because the package uses ES modules and dependencies that require that runtime. The README does not define one universal authentication method or a shared credential set for all providers; setup must follow the individual provider documentation. The server also operates against the provider selected at startup rather than automatically searching all five backends at once.

The documented MCP client setup covers Claude Code, Claude Desktop, Cursor, and Windsurf. The repository includes troubleshooting, compatibility, and tool-reference documentation for further provider and client details.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
3
Stargazers on the source repository.
Last commit
4mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Server Logs Sieve

Run it through npx with Node.js 20 or newer, for example: `npx -y mcp-server-logs-sieve@latest --provider gcp`. Replace the provider with the backend you use.

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Technical Specs & Signals

CategoryπŸ“ŠMonitoring
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
GitHub Star CountTotal stargazers on GitHub representing community popularity (3 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 22, 2026
47Quality signal: Fair Β· 47/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 19d ago via OSV.dev Β· mcp-server-logs-sieve@latest (npm)

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