# BM-25-Search

> Use this tool when you need to perform efficient keyword searches over a local collection of Markdown files. BM-25-Search solves the problem of quickly finding relevant documents within a corpus by providing a simple command-line interface to query and retrieve results. It takes Markdown files as input and outputs relevant search results, making it ideal for use cases where fast and accurate document retrieval is necessary.

Canonical page: https://skillsregistry.net/skills/mandalautomations-bm-25-search  
JSON: https://api.skillsregistry.net/v1/skills/mandalautomations-bm-25-search

## Description

MCP server and CLI for BM25 keyword search over a local Markdown corpus — drop .md files into data/ and query from any MCP-compatible client or the command line.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/MandalAutomations/BM-25-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": "mandalautomations-bm-25-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mandalautomations-bm-25-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mandalautomations-bm-25-search/pull`

---
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