Is the Introduction-to-MCP MCP server actively maintained?

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

Introduction-to-MCP MCP Server

Name: RobynAwesome/Introduction-to-MCP
Rating: 3.1 (1 reviews)
Author: RobynAwesome

RobynAwesome/Introduction-to-MCP

Score: 53.5 Rank #45 Agent Framework

Are you the maintainer of RobynAwesome/Introduction-to-MCP? Claim this listing →

Focusing on building both MCP servers and clients using the Python SDK. You'll learn about MCP's three core primitives—tools, resources, and prompts—and understand how they integrate with Claude AI to create powerful applications without writing extensive integration code.

Add AgentRank to Claude Code Discover and compare tools like RobynAwesome/Introduction-to-MCP — your AI finds the right one automatically

Get API Access →

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

Overview

RobynAwesome/Introduction-to-MCP is a Python MCP server. Focusing on building both MCP servers and clients using the Python SDK. You'll learn about MCP's three core primitives—tools, resources, and prompts—and understand how they integrate with Claude AI to create powerful applications without writing extensive integration code. Topics: ai-augmented-development, chatbot, claude-ai, claude-skills, computer-engineer, mcp, mcp-client, mcp-server, mcp-servers, mcp-tools, software-developer, south-africa, web-developer.

Ranked #45 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

ai-augmented-developmentchatbotclaude-aiclaude-skillscomputer-engineermcpmcp-clientmcp-servermcp-serversmcp-toolssoftware-developersouth-africaweb-developer

Score Breakdown

Stars 15% 4

4 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 Detailed

License None

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

How to Improve

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

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/RobynAwesome--Introduction-to-MCP)](https://agentrank-ai.com/tool/RobynAwesome--Introduction-to-MCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/RobynAwesome--Introduction-to-MCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/RobynAwesome--Introduction-to-MCP" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="RobynAwesome/Introduction-to-MCP"></script>

Details

Stars: 4
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

# Kholofelo Robyn Rababalela — Introduction to MCP

Freelance Web Developer · Computer Engineering Student 📍 Cape Town, Western Cape, South Africa

## Tech Stack
Python • uv • Anthropic MCP SDK • Claude AI

## About
A focused project demonstrating how to build both Model Context Protocol (MCP) servers and clients using the Python SDK. This repository explores MCP's three core primitives—tools, resources, and prompts—and shows how they integrate seamlessly with Claude AI to create powerful applications without writing extensive integration code.

## Sections
* **Servers** — Implementation of custom Python MCP servers
* **Clients** — Building client applications to communicate with the servers
* **Tools** — Exposing executable Python functions to Claude
* **Resources** — Providing contextual file and API data to the AI
* **Prompts** — Structuring interactions for optimal AI responses

## Features
⚡ Built with the official Anthropic Python SDK
🚀 Fast dependency manage

Read full README on GitHub →