# Agentic RAG Assistant

> Agentic RAG Assistant — snehaharurkar-agentic-rag-mcp-assistant. Use this tool when you need to query internal documents and generate responses based on retrieved information. It solves problems related to document search, information retrieval, and automated question-answering, taking in natural language queries as input and outputting relevant responses. Ideal for use cases where internal knowledge needs to be quickly accessed and generated into actionable insights.

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

## Description

Enables querying internal documents via a FastAPI REST API and MCP server, using retrieval-augmented generation and an agentic loop that can invoke tools like document search and calculations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h397jl0q8d)
- **Repository:** <https://github.com/snehaharurkar/agentic-rag-mcp-assistant>

## 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": "snehaharurkar-agentic-rag-mcp-assistant"
    }
  }
}
```

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