# saar

> saar — hpandey2023-saar. Use this tool when you need to efficiently retrieve specific sections from large indexed files, such as documents or code, to solve information retrieval and knowledge extraction problems. It provides relevant results through a hybrid semantic and BM25 search algorithm, along with citations, and operates via the Model Context Protocol. This tool is ideal for use cases requiring precise and contextual information extraction from complex data sources.

Canonical page: https://skillsregistry.net/skills/hpandey2023-saar  
JSON: https://api.skillsregistry.net/v1/skills/hpandey2023-saar

## Description

Enables AI agents to retrieve relevant sections from indexed files (documents, code, etc.) via hybrid semantic/BM25 search, with citations, through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qaxbji974q)
- **Repository:** <https://github.com/hpandey2023/saar>

## 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": "hpandey2023-saar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hpandey2023-saar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hpandey2023-saar/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