# mcp-rag-search

> mcp-rag-search — guo-yb-123-mcp-rag-search. Use this tool when you need to enhance agent tools with advanced knowledge retrieval capabilities, solving problems like information overload and inaccurate search results. It integrates hybrid search and reranking via the MCP protocol, accepting natural language queries as input and returning relevant information as output. Ideal for use cases where agents require efficient and accurate retrieval of knowledge to inform their decision-making or generation tasks.

Canonical page: https://skillsregistry.net/skills/guo-yb-123-mcp-rag-search  
JSON: https://api.skillsregistry.net/v1/skills/guo-yb-123-mcp-rag-search

## Description

Enables agent tools like Claude Code and GitHub Copilot to perform knowledge retrieval using hybrid search (BM25 + dense) with reranking, via MCP 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:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gvj5lrz9v7)
- **Repository:** <https://github.com/guo-yb-123/mcp-rag-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": "guo-yb-123-mcp-rag-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guo-yb-123-mcp-rag-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guo-yb-123-mcp-rag-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