# mcp-powered-agentic-rag

> Use this tool when you need to generate accurate and up-to-date responses to complex queries by leveraging a combination of curated knowledge and real-time web search. It solves problems related to information retrieval, question answering, and text generation, particularly in cases where knowledge bases may be incomplete or outdated. The tool takes in natural language inputs and produces generated text outputs, making it ideal for applications requiring dynamic and informed responses.

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

## Description

An agentic Retrieval-Augmented Generation (RAG) system that combines a small curated machine learning knowledge base with real-time web search capabilities, powered by the Model Context Protocol (MCP).

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

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

## 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": "baazilakhlaque-mcp-powered-agentic-rag"
    }
  }
}
```

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