# openfox-rag

> openfox-rag — cried-nutty-won-openfox-rag. Use this tool when you need to retrieve information from local knowledge bases using advanced search algorithms. The openfox-rag tool solves problems of information overload and inefficient search by providing hybrid retrieval capabilities through BM25, vector search, and cross-encoder reranking. It takes in search queries as input and outputs relevant results from Obsidian vaults and documents.

Canonical page: https://skillsregistry.net/skills/cried-nutty-won-openfox-rag  
JSON: https://api.skillsregistry.net/v1/skills/cried-nutty-won-openfox-rag

## Description

MCP server for OpenFox that provides a rag_search tool for hybrid retrieval from local knowledge bases (Obsidian vaults, docs) using BM25, vector search, and cross-encoder reranking.

## Trust

- **Trust score (0–1):** 0.60
- **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/p3xdlzeslz)
- **Repository:** <https://github.com/cried-nutty-won/openfox-rag>

## 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": "cried-nutty-won-openfox-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cried-nutty-won-openfox-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cried-nutty-won-openfox-rag/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