# Comet ML MCP Server

> Use this tool when you need to manage and track machine learning experiments, organize projects, and perform advanced searches. It enables seamless interaction with Comet ML's platform through the Model Context Protocol, streamlining experiment management and collaboration. Ideal for data scientists and researchers, it provides a robust interface for inputs such as experiment data and outputs like tracked metrics and project insights.

Canonical page: https://skillsregistry.net/skills/comet-ml-comet-mcp  
JSON: https://api.skillsregistry.net/v1/skills/comet-ml-comet-mcp

## Description

Enables interaction with Comet ML's experiment tracking platform through the Model Context Protocol, providing tools for experiment management, project organization, and advanced search.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ff767xcatf)
- **Repository:** <https://github.com/comet-ml/comet-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": "comet-ml-comet-mcp"
    }
  }
}
```

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