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Build-Agentic-AI-and-Gen-AI-Agents-with-MCP MCP Server

Ratnesh-181998/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP

Score: 43.3 Rank #4772 MCP Server
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Model Context Protocol (MCP) Bootcamp offers a deep dive into MCP architecture and its role in the Agentic AI ecosystem. Learn to build real-world, production-ready AI workflows using MCP with LangChain, LangGraph, and CrewAI through fully practical, project-based implementations.

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Overview

Ratnesh-181998/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP is a MCP server licensed under MIT. Model Context Protocol (MCP) Bootcamp offers a deep dive into MCP architecture and its role in the Agentic AI ecosystem. Learn to build real-world, production-ready AI workflows using MCP with LangChain, LangGraph, and CrewAI through fully practical, project-based implementations.

Ranked #4772 out of 25022 indexed tools.

Ecosystem

MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2

2 stars → early stage

Freshness 25% 6mo ago

Last commit 6mo ago → stale

Issue Health 25% 0%

0/1 issues closed → many open issues

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

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

How to Improve

Freshness high impact

Last commit was 183 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 1 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

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

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AgentRank score for Ratnesh-181998/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP
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Matched Queries

"model context protocol""model-context-protocol"

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