# io.github.dbsectrainer/mcp-agent-trace-inspector

> Use this tool when you need to gain step-by-step insights into MCP agent workflows, solving issues related to workflow debugging and optimization. It provides observability into agent workflows, allowing for detailed analysis and troubleshooting. By using this tool, you can input workflow data and output detailed trace information to identify and resolve issues efficiently.

Canonical page: https://skillsregistry.net/skills/io-github-dbsectrainer-mcp-agent-trace-inspector  
JSON: https://api.skillsregistry.net/v1/skills/io-github-dbsectrainer-mcp-agent-trace-inspector

## Description

Step-by-step observability for MCP agent workflows

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.dbsectrainer%2Fmcp-agent-trace-inspector)
- **Repository:** <https://github.com/dbsectrainer/mcp-agent-trace-inspector>

## 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": "io-github-dbsectrainer-mcp-agent-trace-inspector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-dbsectrainer-mcp-agent-trace-inspector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-dbsectrainer-mcp-agent-trace-inspector/pull`

---
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