# exo

> Use this tool when you need to unify disparate data sources into organized knowledge pages, enabling efficient search and integration with AI-powered coding tools. Exo ingests various data sources and utilizes Large Language Models (LLMs) to compile structured knowledge, solving problems of data fragmentation and discovery. It provides a hybrid search interface, making it ideal for use cases that require seamless data integration and AI-driven coding workflows.

Canonical page: https://skillsregistry.net/skills/guqing-exo  
JSON: https://api.skillsregistry.net/v1/skills/guqing-exo

## Description

An MCP server that ingests various data sources and uses LLMs to compile them into structured knowledge pages, enabling hybrid search and integration with AI coding tools like Claude Code and Cursor.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ii2whtzewp)
- **Repository:** <https://github.com/guqing/exo>

## 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": "guqing-exo"
    }
  }
}
```

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