# Whoosh RAG MCP

> Use this tool when you need to efficiently search and retrieve relevant information from large documentation sets, enabling AI assistants to provide accurate and up-to-date answers. It solves problems of information overload and outdated knowledge by indexing and querying documentation using Whoosh full-text search. Ideal for use cases where AI agents require authoritative and timely information, with input of search queries and output of relevant document results.

Canonical page: https://skillsregistry.net/skills/jianlins-whoosh-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jianlins-whoosh-rag-mcp

## Description

An MCP server that provides full-text search over documentation using Whoosh, enabling AI assistants to find up-to-date, authoritative answers.

## Trust

- **Trust score (0–1):** 0.89
- **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/migfdfnhqq)
- **Repository:** <https://github.com/jianlins/whoosh_rag_mcp>

## 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": "jianlins-whoosh-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jianlins-whoosh-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jianlins-whoosh-rag-mcp/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