# Trackio

> Use this tool when you need to integrate experiment tracking data with AI agents for analysis and reporting, or to expose trackio data through a standardized API without modifying existing workflows. Trackio provides MCP server functionality, enabling automatic monkey-patching of Gradio applications to query experiment projects, runs, metrics, and statistics. It is ideal for machine learning researchers and developers who want to make their experiment tracking data accessible to AI agents for tasks such as comparison and reporting.

Canonical page: https://skillsregistry.net/skills/trackio  
JSON: https://api.skillsregistry.net/v1/skills/trackio

## Description

Provides MCP server functionality for trackio experiment tracking by automatically monkey-patching Gradio applications to expose trackio data through MCP tools. The implementation uses a direct patching approach that activates on import, enabling AI assistants to query experiment projects, runs, metrics, and statistics through a standardized API without requiring code changes to existing trackio workflows. Built for machine learning researchers and developers who want to make their experiment tracking data accessible to AI agents for analysis, comparison, and reporting tasks, with support for deployment to Hugging Face Spaces for remote access.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

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

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