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

> Build-Agentic-AI-and-Gen-AI-Agents-with-MCP — ratnesh-181998-build-agentic-ai-and-gen-ai-agents-with-mcp. Use this tool when you need to build and deploy production-ready AI agents with Model Context Protocol (MCP) architecture, solving complex workflow integration and automation problems. It takes in project requirements and outputs fully functional AI workflows, leveraging LangChain, LangGraph, and CrewAI. Use it when developing real-world Agentic AI applications, such as automated decision-making systems or intelligent process automation.

Canonical page: https://skillsregistry.net/skills/ratnesh-181998-build-agentic-ai-and-gen-ai-agents-with-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ratnesh-181998-build-agentic-ai-and-gen-ai-agents-with-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/Ratnesh-181998/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP)

## 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": "ratnesh-181998-build-agentic-ai-and-gen-ai-agents-with-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ratnesh-181998-build-agentic-ai-and-gen-ai-agents-with-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ratnesh-181998-build-agentic-ai-and-gen-ai-agents-with-mcp/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