# rag-retrieval-mcp

> Use this tool when you need to generate content based on specific queries and require relevant information retrieval. It solves problems related to information discovery and generation by searching vector stores and returning relevant content. The tool takes in queries and provider preferences as inputs and outputs generated content based on the retrieved information.

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

## Description

Enables retrieval-augmented generation by embedding queries with a chosen provider (e.g., OpenAI) and searching supported vector stores (Pinecone, pgvector) to return relevant content.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dp2c258mi0)
- **Repository:** <https://github.com/MaryamZi/rag-retrieval-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": "maryamzi-rag-retrieval-mcp"
    }
  }
}
```

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