OpenTelemetry MCP — Installer & Démo en direct

Pourquoi l'utiliser

Fonctionnalités clés

Unified MCP for querying OpenTelemetry traces across Jaeger, Tempo, Datadog, and other backends.
Maintained by traceloop (community)
Written in Python
188+ GitHub stars at last check
Open source on GitHub

Démo en direct

Aperçu en pratique

opentelemetry-mcp-server.replay ▶ prêt

0/0

Installer

Choisissez votre client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "opentelemetry-mcp-server": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/traceloop/opentelemetry-mcp-server"
      ]
    }
  }
}

Ouvrez Claude Desktop → Settings → Developer → Edit Config. Redémarrez après avoir enregistré.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "opentelemetry-mcp-server": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/traceloop/opentelemetry-mcp-server"
      ]
    }
  }
}

Cursor utilise le même schéma mcpServers que Claude Desktop. La config projet l'emporte sur la globale.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "opentelemetry-mcp-server": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/traceloop/opentelemetry-mcp-server"
      ]
    }
  }
}

Cliquez sur l'icône MCP Servers dans la barre latérale Cline, puis "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "opentelemetry-mcp-server": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/traceloop/opentelemetry-mcp-server"
      ]
    }
  }
}

Même format que Claude Desktop. Redémarrez Windsurf pour appliquer.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "opentelemetry-mcp-server",
      "command": "TODO",
      "args": [
        "See README: https://github.com/traceloop/opentelemetry-mcp-server"
      ]
    }
  ]
}

Continue utilise un tableau d'objets serveur plutôt qu'une map.

~/.config/zed/settings.json

{
  "context_servers": {
    "opentelemetry-mcp-server": {
      "command": {
        "path": "TODO",
        "args": [
          "See README: https://github.com/traceloop/opentelemetry-mcp-server"
        ]
      }
    }
  }
}

Ajoutez dans context_servers. Zed recharge à chaud à la sauvegarde.

claude mcp add opentelemetry-mcp-server -- TODO 'See README: https://github.com/traceloop/opentelemetry-mcp-server'

Une seule ligne. Vérifiez avec claude mcp list. Supprimez avec claude mcp remove.

Cas d'usage

Usages concrets : OpenTelemetry MCP

Use OpenTelemetry MCP for its primary workflow

👤 Developers using AI coding agents ⏱ ~10 min beginner

Quand l'utiliser : You need the capability: Unified MCP for querying OpenTelemetry traces across Jaeger, Tempo, Datadog, and other backends.

Prérequis

MCP server installed — See https://github.com/traceloop/opentelemetry-mcp-server for install instructions

Déroulement

Install

Install OpenTelemetry MCP following the README at https://github.com/traceloop/opentelemetry-mcp-server✓ Copié

→ MCP server appears in your client's available tools/skills
Invoke

Use OpenTelemetry MCP to complete the task described in its docs.✓ Copié

→ Agent calls the relevant tool/skill and returns a result

Résultat : Working integration with the capabilities advertised by the project.

Pièges

README is the source of truth; details here may lag upstream — Check https://github.com/traceloop/opentelemetry-mcp-server for the latest setup steps and tool list

Plus

Ressources

📖 Lire le README officiel sur GitHub

🐙 Voir les issues ouvertes

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