# Modular RAG MCP Server

> Use this tool when you need to integrate hybrid search, document ingestion, and evaluation capabilities into AI assistants, leveraging knowledge bases through a standardized Model Context Protocol interface. It exposes key functions such as querying knowledge hubs, listing collections, and generating document summaries. Ideal for applications requiring seamless interaction with knowledge bases to enhance AI-driven information retrieval and processing.

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

## Description

Exposes RAG-related tools (query_knowledge_hub, list_collections, get_document_summary) via the Model Context Protocol, enabling AI assistants to perform hybrid search, document ingestion, and evaluation on knowledge bases.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l6cu337iz7)
- **Repository:** <https://github.com/Nhuajia/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": "nhuajia-rag-mcp"
    }
  }
}
```

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