# atlas-mcp-doc-search

> Use this tool when you need to perform advanced document searches that combine traditional and semantic search methods. It solves problems of information retrieval and document ranking by providing ranked chunks from relevant documents, leveraging the Atlas corpus. This tool takes in search queries and returns a list of relevant document chunks, making it ideal for applications requiring precise and context-aware search functionality.

Canonical page: https://skillsregistry.net/skills/bragabruno-atlas-mcp-doc-search  
JSON: https://api.skillsregistry.net/v1/skills/bragabruno-atlas-mcp-doc-search

## Description

Enables hybrid document search (BM25 + vector) with Reciprocal Rank Fusion over the Atlas corpus, returning ranked chunks from documents.

## Trust

- **Trust score (0–1):** 0.92
- **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:** [Glama](https://glama.ai/mcp/servers/ngxzlteql0)
- **Repository:** <https://github.com/bragabruno/atlas-mcp-doc-search>

## 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": "bragabruno-atlas-mcp-doc-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bragabruno-atlas-mcp-doc-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bragabruno-atlas-mcp-doc-search/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