# Modular RAG MCP Server

> Use this tool when you need to integrate AI assistants with knowledge bases and document collections. It solves problems of querying and retrieving relevant information by exposing tools via the MCP protocol, allowing AI agents to list collections and retrieve document summaries. This modular framework is ideal for use cases where pluggable and observable functionality is required for AI-powered knowledge retrieval.

Canonical page: https://skillsregistry.net/skills/jerry-ai-dev-modular-rag-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jerry-ai-dev-modular-rag-mcp-server

## Description

A pluggable, observable modular RAG framework exposing tools via MCP protocol for AI assistants like Copilot/Claude to query knowledge bases, list collections, and retrieve document summaries.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-27

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oqkoa5feyv)
- **Repository:** <https://github.com/jerry-ai-dev/MODULAR-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": "jerry-ai-dev-modular-rag-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jerry-ai-dev-modular-rag-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jerry-ai-dev-modular-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