CloudWatch Logs
CloudWatch Logs MCP Server provides AI assistants with direct access to AWS CloudWatch logs through a Python-based implementation using FastMCP and boto3. The server exposes two main tools: listing available log groups and retrieving log entries with support for filtering by time ranges, patterns, and specific streams. It handles AWS authentication through standard credential chains or explicit parameters, formats responses as structured JSON, and includes comprehensive error handling and logging capabilities. Ideal for remote monitoring and analysis of AWS infrastructure logs without requiring direct console access.
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/serkanh/cloudwatch-logs-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve 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 --scope user for --scope project to commit it to .mcp.json.