# Agentic RAG MCP Server

> Use this tool when you need to generate human-like text based on specific information from large document collections, and want to efficiently retrieve relevant data using vector search and large language models. It solves problems of information overload and irrelevant results by providing a fast and accurate query interface. The Agentic RAG MCP Server takes in natural language queries and returns relevant text generations through a FastAPI interface.

Canonical page: https://skillsregistry.net/skills/eimantahir027-mcp-powered-agentic-rag  
JSON: https://api.skillsregistry.net/v1/skills/eimantahir027-mcp-powered-agentic-rag

## Description

A local Retrieval-Augmented Generation system that enables AI agents to query and retrieve information from document collections using ChromaDB vector search and Ollama LLMs through a FastAPI interface.

## Trust

- **Trust score (0–1):** 0.87
- **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/ojia4n0eha)
- **Repository:** <https://github.com/EimanTahir027/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": "eimantahir027-mcp-powered-agentic-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eimantahir027-mcp-powered-agentic-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eimantahir027-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