# Galileo

> Use this tool when you need to integrate AI-powered development environments with evaluation and observability capabilities, streamlining AI application development workflows and performance monitoring. The Galileo MCP server solves problems related to synthetic dataset creation, experiment management, and log analysis, providing inputs such as natural conversation with AI assistants and outputs like step-by-step integration guides. It is ideal for use in contexts where iterative improvement of LLM-powered systems is necessary.

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

## Description

The Galileo MCP server enables seamless integration between AI-powered IDEs like Cursor and VS Code with Galileo's evaluation and observability platform. Through natural conversation with AI assistants, developers can create synthetic datasets, manage prompt templates, set up experiments, analyze log streams for insights and improvements, and get step-by-step integration guides for adding Galileo observability to OpenAI and LangChain applications. The server provides direct access to Galileo's capabilities from the development environment, making it useful for AI application development workflows, performance monitoring, and iterative improvement of LLM-powered systems.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/galileo)
- **Repository:** <https://github.com/rungalileo/docs-official>

## 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": "galileo"
    }
  }
}
```

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