# MCP-RAG

> MCP-RAG — 1308495420-dotcom-mcp-rag. Use this tool when you need to leverage hybrid search and large language model (LLM) reranking capabilities to enhance query results. The MCP-RAG server solves problems related to information retrieval and ranking, providing AI clients with accurate and relevant outputs. It accepts input queries and returns reranked results, making it ideal for applications requiring advanced search functionality, such as Claude Desktop and Cursor.

Canonical page: https://skillsregistry.net/skills/1308495420-dotcom-mcp-rag  
JSON: https://api.skillsregistry.net/v1/skills/1308495420-dotcom-mcp-rag

## Description

A modular RAG server with hybrid search and LLM rerank, exposing 3 MCP tools for AI clients like Claude Desktop and Cursor.

## Trust

- **Trust score (0–1):** 0.24
- **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/t5f9mlv45n)
- **Repository:** <https://github.com/1308495420-dotcom/MCP-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": "1308495420-dotcom-mcp-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/1308495420-dotcom-mcp-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/1308495420-dotcom-mcp-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