# AgentTrace

> Use this tool when you need to debug and optimize complex multi-agent systems by tracing and logging interactions. AgentTrace captures sessions, spans, and events, providing a queryable trace tree for analysis. It solves problems related to performance issues, error identification, and system optimization, accepting input from agent systems and outputting detailed trace data for informed decision-making.

Canonical page: https://skillsregistry.net/skills/yashsrivastava16-agenttrace  
JSON: https://api.skillsregistry.net/v1/skills/yashsrivastava16-agenttrace

## Description

MCP server for tracing, logging, and debugging multi-agent systems by capturing sessions, spans, and events in a queryable trace tree.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/elznc7gq6q)
- **Repository:** <https://github.com/yashsrivastava16/AgentTrace>

## 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": "yashsrivastava16-agenttrace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yashsrivastava16-agenttrace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yashsrivastava16-agenttrace/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