# mcp-agentic-rag

> Use this tool when you need to efficiently retrieve and query documents using local vector retrieval and web fallback. It solves problems related to document ingestion and querying by providing a robust interface for retrieving information. The tool accepts document inputs and returns query results through the MCP stdio transport, making it ideal for applications requiring fast and reliable document retrieval.

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

## Description

Provides RAG tools with local vector retrieval and web fallback using Firecrawl, enabling document ingestion and querying through MCP stdio transport.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u5akw4jijg)
- **Repository:** <https://github.com/sampathpulukurthi/agentic-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": "sampathpulukurthi-agentic-rag-mcp"
    }
  }
}
```

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