@traceloop/instrumentation-mcp

Name: @traceloop/instrumentation-mcp Review
Item: @traceloop/instrumentation-mcp
Rating: 3.2
Author: Aaron Matthews

Connector Development Usable

Works inClaude Code Claude Cowork Claude Chat

Usable Scanned — metadata only

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.

408 starsApache-2.0 (commercial OK)FreeNo code needed

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Enables Claude to instrument and trace application code execution in real time, reducing debugging cycles and improving observability into AI-assisted development workflows.

Best for

Engineering teams integrating Claude into development pipelines requiring execution visibility and performance diagnostics.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://www.npmjs.com/package/@traceloop/instrumentation-mcp

By GitHub Actions

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

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.

First thing to try

Once it’s connected, paste this into Claude:

Trace function calls and identify performance bottlenecks in my application code

CostFree

Trust Signals Auto-scanned

Stars408Last updated2026-06-18LicenseApache-2.0 (OK for commercial use)Weekly downloads62,262Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-23 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 408 GitHub stars; contributors unknown; last commit 35d 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 Scores

Evaluation

Ease of Use

3/5

Versatility

4/5

Reliability

3/5

Security

3/5

Overall score3.25 / 5.00 UsableEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 408 GitHub stars; contributors unknown; last commit 35d ago; license Apache-2.0.

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