What is the Agentic-RAG-with-MCP-Server MCP server?

jyotidabass/Agentic-RAG-with-MCP-Server is an MCP server indexed by AgentRank. Score: 45.3/100.

Is the Agentic-RAG-with-MCP-Server MCP server actively maintained?

The Agentic-RAG-with-MCP-Server MCP server was last committed today and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

Agentic-RAG-with-MCP-Server MCP Server

Name: jyotidabass/Agentic-RAG-with-MCP-Server
Rating: 2.8 (1 reviews)
Author: jyotidabass

jyotidabass/Agentic-RAG-with-MCP-Server

Score: 45.3 Rank #105 Search & RAG

Are you the maintainer of jyotidabass/Agentic-RAG-with-MCP-Server? Claim this listing →

Add AgentRank to Claude Code Discover and compare tools like jyotidabass/Agentic-RAG-with-MCP-Server — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

jyotidabass/Agentic-RAG-with-MCP-Server is a Python MCP server.

Ranked #105 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description None

License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

Add a detailed description (150+ chars) to your repo to improve discoverability

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/jyotidabass--Agentic-RAG-with-MCP-Server)](https://agentrank-ai.com/tool/jyotidabass--Agentic-RAG-with-MCP-Server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/jyotidabass--Agentic-RAG-with-MCP-Server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/jyotidabass--Agentic-RAG-with-MCP-Server" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="jyotidabass/Agentic-RAG-with-MCP-Server"></script>

Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: —
Last Commit: today

Matched Queries

"mcp server""mcp-server"

From the README

# 🤖 Agentic RAG with MCP Server

A production-ready implementation of **Agentic Retrieval-Augmented Generation (RAG)** using the **Model Context Protocol (MCP)**. This project demonstrates how to build an AI agent that can intelligently query a knowledge base (Sri Lanka news articles) by using MCP tools for query refinement, entity extraction, and relevance scoring — all powered by OpenAI.

---

## 📌 Table of Contents

- [What Is This Project?](#what-is-this-project)
- [How It Works — The Big Picture](#how-it-works--the-big-picture)
- [Project Structure](#project-structure)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Configuration](#configuration)
- [Running the Project](#running-the-project)
- [Code Walkthrough](#code-walkthrough)
  - [server.py — The MCP Tool Server](#serverpy--the-mcp-tool-server)
  - [mcp-client.py — The AI Agent Client](#mcp-clientpy--the-ai-agent-client)
  - [config.py — Configuration Loader](#configpy--configuration-loader)
- [MCP Tool

Read full README on GitHub →