# Jaeger

> Use this tool when you need to analyze and visualize distributed tracing data to identify performance bottlenecks and optimize system interactions. It solves problems related to service dependency mapping, trace inspection, and time-range-based searching, providing outputs in JSON and Markdown formats. Ideal for use cases requiring read-only access to tracing data, Jaeger integrates with AI agents via stdio, supporting Bearer token and HTTP Basic authentication.

Canonical page: https://skillsregistry.net/skills/mshegolev-jaeger  
JSON: https://api.skillsregistry.net/v1/skills/mshegolev-jaeger

## Description

Jaeger gives AI agents read-only access to Jaeger distributed tracing data. It provides five tools for searching traces by service and time range, inspecting individual spans, and visualizing service dependency graphs. Supports Bearer token and HTTP Basic authentication; communicates via stdio and returns both structured JSON and Markdown-formatted output.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mshegolev-jaeger)
- **Repository:** <https://github.com/mshegolev/jaeger-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": "mshegolev-jaeger"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mshegolev-jaeger` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mshegolev-jaeger/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
