# MCP RAG Agent

> Use this tool when you need to generate context-aware answers by searching over policies and fusing relevant results. It solves problems related to information retrieval and question answering by providing grounded responses. The MCP RAG Agent takes in user queries and prompts, and outputs relevant answers and policy information.

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

## Description

Enables hybrid search over policies using Reciprocal Rank Fusion and provides grounded, context-aware answers via a LangGraph agent with COSTAR prompting.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oobotko6kt)
- **Repository:** <https://github.com/luisrodriguesphd/mcp-rag-agent>

## 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": "luisrodriguesphd-mcp-rag-agent"
    }
  }
}
```

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