#
ENJA

opentelemetry-mcp-server

MCP Server

traceloop/opentelemetry-mcp-server

An MCP server that enables AI assistants to query and analyze OpenTelemetry traces and LLM telemetry backends directly from development environments.

198 23Apache-2.0Updated 2026-06-21

Overview

The OpenTelemetry MCP Server connects modern development tools and AI agents to tracing backends such as Jaeger, Tempo, and Traceloop. It offers structured tools specifically optimized for LLM observability, allowing developers to track token usage, evaluate model performance, debug error traces, and find expensive API calls using natural language prompts inside their IDE.

Capabilities

  • Search traces and individual spans with advanced filters
  • Retrieve complete trace details for deep debugging
  • Aggregate token usage and cost metrics
  • List instrumented services and discover active LLM models
  • Identify errors, slow operations, and expensive API calls

Best for

Debugging LLM application errors and trace failures directly from an IDE, Analyzing token usage and aggregating cost metrics across multiple AI models, Discovering slow operations and highest token usage traces to optimize application performance, Querying services and tracing data using natural language assistant commands

Works with

Claude CodeChatGPTCursorGemini CLI
Evoa Score breakdown= Σ (score × weight)
80
Task usefulness20%88 → +17.6

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%85 → +12.8

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%45 → +5.4

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%80 → +12.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%60 → +4.8

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%100 → +5.0

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total79.5 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Requires access to telemetry backends and may handle API keys for cloud-hosted tracking services like Traceloop. Ensure proper secrets management when providing environment variables.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.