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MCP server · Developer Tools

instrumentation

MCP (Model Context Protocol) Instrumentation

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Scored 4 months ago · breakdown

About instrumentation

instrumentation is an MCP server published by git+traceloop in the Developer Tools category: mCP (Model Context Protocol) Instrumentation. It has been installed 0 times through Conduid.

Install

Install
npx @traceloop/instrumentation-mcp
Claude Code
claude mcp add openllmetry-js -- npx -y @traceloop/instrumentation-mcp
npx
npx -y @traceloop/instrumentation-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

🎉 New: Our semantic conventions are now part of OpenTelemetry! Join the discussion and help us shape the future of LLM observability.

OpenLLMetry-JS is a set of extensions built on top of OpenTelemetry that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, it can be connected to your existing observability solutions - Datadog, Honeycomb, and others.

It's built and maintained by Traceloop under the Apache 2.0 license.

The repo contains standard OpenTelemetry instrumentations for LLM providers and Vector DBs, as well as a Traceloop SDK that makes it easy to get started with OpenLLMetry-JS, while still outputting standard OpenTelemetry data that can be connected to your observability stack. If you already have OpenTelemetry instrumented, you can just add any of our instrumentations directly.

🚀 Getting Started

The easiest way to get started is to use our SDK. For a complete guide, go to our docs.

Install the SDK:

npm install --save @traceloop/node-server-sdk

Then, to start instrumenting your code, just add these 2 lines to your code:

import * as traceloop from "@traceloop/node-server-sdk";

traceloop.initialize();

Make sure to import the SDK before importing any LLM module.

That's it. You're now tracing your code with OpenLLMetry-JS! If you're running this locally, you may want to disable batch sending, so you can see the traces immediately:

traceloop.initialize({ disableBatch: true });

Now, you need to decide where to export the traces to.

⏫ Supported (and tested) destinations

See our docs for instructions on connecting to each one.

🪗 What do we instrument?

OpenLLMetry-JS can instrument everything that OpenTelemetry already instruments - so things like your DB, API calls, and more. On top of that, we built a set of custom extensions that instrument things like your calls to OpenAI or Anthropic, or your Vector DB like Pinecone, Chroma, or Weaviate.

LLM Providers

  • ✅ OpenAI
  • ✅ Azure OpenAI
  • ✅ Anthropic
  • ✅ Cohere
  • ⏳ Replicate
  • ⏳ HuggingFace
  • ✅ Vertex AI (GCP)
  • ✅ Bedrock (AWS)

Vector DBs

  • ✅ Pinecone
  • ✅ Chroma
  • ✅ Qdrant
  • ⏳ Weaviate
  • ⏳ Milvus

Frameworks

  • ✅ LangChain
  • ✅ LlamaIndex

🔎 Telemetry

We no longer log or collect any telemetry in the SDK or in the instrumentations. Make sure to bump to v0.21.1 and above.

🌱 Contributing

Whether it's big or small, we love contributions ❤️ Check out our guide to see how to get started.

Not sure where to get started? You can:

💚 Community & Support

  • Slack (For live discussion with the community and the Traceloop team)
  • GitHub Discussions (For help with building and deeper conversations about features)
  • GitHub Issues (For any bugs and errors you encounter using OpenLLMetry)
  • Twitter (Get news fast)

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About instrumentation

How do I install instrumentation?

Run npx @traceloop/instrumentation-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is instrumentation safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is instrumentation still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.