@traceloop/instrumentation-mcp
Enables Claude to instrument and trace application code execution in real time, reducing debugging cycles and improving observability into AI-assisted develo…
MCP (Model Context Protocol) Instrumentation
- Ask Claude to trace function calls and identify performance bottlenecks in your application code.
- Generate instrumentation code that logs API requests and responses for debugging distributed systems.
- Automate collection of execution metrics across microservices to understand system behavior patterns.
Enables Claude to instrument and trace application code execution in real time, reducing debugging cycles and improving observability into AI-assisted development workflows.
Engineering teams integrating Claude into development pipelines requiring execution visibility and performance diagnostics.
https://www.npmjs.com/package/@traceloop/instrumentation-mcp
By GitHub Actions
How to Get It
npx -y @traceloop/instrumentation-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Trace function calls and identify performance bottlenecks in my application code
Trust Signals Auto-scanned
Data & Access
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 412 GitHub stars; 25 contributors; last commit 125d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 412 GitHub stars; 25 contributors; last commit 125d ago; license Apache-2.0.