# Model Context Protocol Server

> Use this tool when you need to enhance RAG applications with advanced natural language processing capabilities, such as entity extraction, query refinement, and relevance checking. It solves problems related to information retrieval, question answering, and text analysis by providing intelligent tools to improve search results and user experience. The server takes in text-based inputs and outputs refined queries, extracted entities, and relevance scores, making it ideal for use cases involving complex search and question answering systems.

Canonical page: https://skillsregistry.net/skills/ashishpatel26-agentic-rag-with-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ashishpatel26-agentic-rag-with-mcp-server

## Description

A server exposing intelligent tools for enhancing RAG applications with entity extraction, query refinement, and relevance checking capabilities.

## Trust

- **Trust score (0–1):** 0.92
- **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/bpcnlg7d27)
- **Repository:** <https://github.com/ashishpatel26/Agentic-RAG-with-MCP-Server>

## 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": "ashishpatel26-agentic-rag-with-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ashishpatel26-agentic-rag-with-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ashishpatel26-agentic-rag-with-mcp-server/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