# otel-mcp

> Use this tool when you need to query, analyze, and debug your application's performance using OpenTelemetry traces. The otel-mcp server provides AI agents with access to these traces, enabling them to identify issues and optimize system performance. It takes in OpenTelemetry data as input and outputs actionable insights for improved application debugging and monitoring.

Canonical page: https://skillsregistry.net/skills/moondef-otel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/moondef-otel-mcp

## Description

MCP server that gives AI agents access to your application's OpenTelemetry traces for querying, analysis, and debugging.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qukfz73ysh)
- **Repository:** <https://github.com/moondef/otel-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "moondef-otel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/moondef-otel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/moondef-otel-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt