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Awslabs Cloudwatch Appsignals Mcp

skill-friz-zy-ai-capability-registry-awslabs-cloudwatch-appsignals · by Friz-zy

Application performance monitoring and insights.

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Install

$ agentstack add skill-friz-zy-ai-capability-registry-awslabs-cloudwatch-appsignals

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Amazon CloudWatch Application Signals

Application performance monitoring and insights.

When to use

  • Use Amazon CloudWatch Application Signals only when the task directly involves the relevant service, SaaS product, platform, or technology.

Connection

Docker stdio

{
  "command": "docker",
  "args": [
    "run",
    "--rm",
    "-i",
    "mcp/cloudwatch-appsignals-mcp-server"
  ]
}

MCP instructions

Docker launch notes

  • Launch through Docker stdio with docker run --rm -i mcp/cloudwatch-appsignals-mcp-server.

References

  • https://github.com/awslabs/mcp
  • https://github.com/docker/mcp-registry/tree/main/servers/awslabs-cloudwatch-appsignals

Security policy

  • Authentication: Open or unspecified

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.