# search-context

> Use this tool when you need to find relevant information across large documentation sets and require accurate, AI-generated answers with credible sources. It solves problems of information overload and citation tracking by providing semantic search capabilities and source citations. Ideal for use cases where precise answers and trustworthy sources are crucial, such as research, knowledge management, and decision-making.

Canonical page: https://skillsregistry.net/skills/ain3sh-search-context  
JSON: https://api.skillsregistry.net/v1/skills/ain3sh-search-context

## Description

Enables semantic search across documentation stored in Gemini FileSearchStores, returning AI-generated answers with source citations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vwz2vuyhei)
- **Repository:** <https://github.com/ain3sh/search-context>

## 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": "ain3sh-search-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ain3sh-search-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ain3sh-search-context/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