MCP Server for OpenTelemetry

In plain words

MCP Server for OpenTelemetry is an open-source tool that integrates observability backends like Grafana, Jaeger, Datadog, Dynatrace, and Traceloop directly into developer environments. It eliminates the need to switch between code editors and separate monitoring dashboards, allowing developers to access telemetry data without leaving their IDE. Built to support multiple platforms simultaneously, it addresses the limitations of closed-source, provider-specific alternatives that lock teams into single tools.

written from the facts on this page · September 2026

From the sources

Unified MCP server for querying OpenTelemetry traces across multiple backends (Jaeger, Tempo, Traceloop, etc.), enabling AI agents to analyze distributed traces for automated debugging and observability. - traceloop/opentelemetry-mcp-server

In the maker’s words, at launch

Hey HN, Gal, Nir and Doron here. Over the past 2 years, we've helped teams debug everything from prompt issues to production outages. We kept running into the same problem: Jumping between our IDEs and our observability dashboards. So, we built an open-source MCP server that connects any OpenTelemetry backend…

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  mcp-use2025 · manufact.com · ▲581

  Hi HN, Luigi here. We maintain mcp-use an open-source TypeScript framework for building MCP servers and MCP Apps: https://github.com/mcp-use/mcp-use MCP is now (finally) stateless so we rewrote mcp-use v2 from scratch for the 2026-07-28 MCP spec revision: https://blog.modelcontextprotocol.io/posts/2026-07-28/ Thanks to the rebuild: - Throughput: +27% → from 8,615 to 10,982 median ops/sec - Cold launch: 2.2x faster → from 151.6 ms to 68.1 ms - Clean install: 82% smaller → from 404.6 MiB to 74.4 MiB Benchmark with methodology here:…

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  superlogJun 2026 · superlog.sh · ▲497

  Hey HN, we’re Nico and Arseniy, co-founders of Superlog (https://superlog.sh). We're building a self-installing, self healing observability tool meant not to be opened. It has a wizard that daily sets up proper logging and an agent that investigates errors and opens PRs. Super short demo: https://www.youtube.com/watch?v=xFhU9Mk247M. In our earlier startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. Proper telemetry and alerting still requires a ton of manual setup. We struggled with adding good logs, so debugging was tough, especially as…

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  OpenLLMetry – OpenTelemetry-based observability for LLMs2023 · github.com · ▲154

  Hey HN, Nir, Gal and Tomer here. We’re open-sourcing a set of extensions we’ve built on top of OpenTelemetry that provide visibility into LLM applications - whether it be prompts, vector DBs and more. Here’s the repo: https://github.com/traceloop/openllmetry. There’s already a decent number of tools for LLM observability, some open-source and some not. But what we found was missing for all of them is that they were closed-protocol by design, vendor-locking you to use their observability platform or their proprietary framework for running your LLMs. It’s still early in the…

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  AI Observability by OpenObserveAug 2026 · openobserve.ai · ▲317

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  You don't need to adopt new tools for LLM observability2024 · github.com · ▲102

  If you've built any web-based app in the last 15 years, you probably used something like Datadog, New Relic, Sentry, etc. to monitor and trace your app, right? Why should it be different when the app you're building happens to be using LLMs? So today we're open-sourcing OpenLLMetry-JS. It's an open protocol and SDK, based on OpenTelemetry, that provides traces and metrics for LLM JS/TS applications and can be connected to any of the 15+ tools that already support OpenTelemetry. Here's the repo: https://github.com/traceloop/openllmetry-js A few months ago we launched…

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