# Hybrid RAG MCP Server

> Use this tool when you need to integrate document-based knowledge into Large Language Model (LLM) workflows, enabling hybrid search and knowledge retrieval capabilities. It solves problems related to information retrieval, document-based question answering, and knowledge augmentation, providing support for dense and sparse retrieval, reranking, and observability. The Hybrid RAG MCP Server accepts LLM queries and document collections as inputs, outputting relevant knowledge retrievals and ranked results.

Canonical page: https://skillsregistry.net/skills/jiarongli517021911144-hybrid-rag-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jiarongli517021911144-hybrid-rag-mcp-server

## Description

A modular Retrieval-Augmented Generation (RAG) framework that provides hybrid search and knowledge retrieval capabilities via the Model Context Protocol. It enables users to integrate document-based knowledge into LLM workflows with support for dense/sparse retrieval, reranking, and observability.

## Trust

- **Trust score (0–1):** 0.15
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hn96j3exox)
- **Repository:** <https://github.com/jiarongli517021911144/hybrid-rag-mcp-server>

## 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": "jiarongli517021911144-hybrid-rag-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jiarongli517021911144-hybrid-rag-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jiarongli517021911144-hybrid-rag-mcp-server/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