# mcp-server-bm25-code-search

> mcp-server-bm25-code-search — toarur-mcp-server-bm25-code-search. Use this tool when you need to efficiently search and retrieve code snippets for AI coding tasks, solving problems of slow or inaccurate code lookup. It takes in code queries as input and outputs relevant code matches, supporting various text formats such as camelCase and snake_case. Ideal for use in multi-agent environments or local development setups where fast code search is crucial.

Canonical page: https://skillsregistry.net/skills/toarur-mcp-server-bm25-code-search  
JSON: https://api.skillsregistry.net/v1/skills/toarur-mcp-server-bm25-code-search

## Description

Enables fast, low-token code search for AI coding agents via a local BM25 engine built on SQLite FTS5, with support for camelCase, snake_case, and Japanese text. Provides a stateless MCP stdio server and a Hermes adapter for multi-agent environments.

## 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:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dsjcg3vhdm)
- **Repository:** <https://github.com/toaruR/mcp-server-bm25-code-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": "toarur-mcp-server-bm25-code-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/toarur-mcp-server-bm25-code-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/toarur-mcp-server-bm25-code-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