pulsemcp verified Safe content atomic mcp-remote

Log Analyzer with CloudWatch Logs

Log Analyzer with MCP is an AWS Labs-developed server that provides AI assistants with structured access to CloudWatch Logs data. Built in Python using boto3, it exposes a comprehensive set of tools for searching, analyzing, and correlating logs across multiple AWS services. The implementation includes specialized capabilities for error pattern detection, log activity summarization, and cross-service correlation using common identifiers like request IDs. It's particularly valuable for DevOps teams and system administrators who need AI assistance with log analysis for troubleshooting, monitoring, and identifying patterns in their AWS infrastructure logs.

Cognium trust score

89%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/awslabs/log-analyzer-with-mcp
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Log Analyzer with CloudWatch Logs from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"