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    MCP: Build Agents with Claude, Cursor, Flowise, Python & n8n

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    Claude AI · Online Course

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    The Model Context Protocol (MCP) represents a major paradigm shift in how large language models interact with external systems, databases, and local development environments. This comprehensive course by Arnold Oberleiter serves as an essential roadmap for developers, AI engineers, and automation enthusiasts aiming to build advanced, sovereign AI agents. By bridging the gap between theory and practical deployment, the training guides students through connecting Claude and Cursor with powerful tools like Flowise, n8n, and custom Python servers. Throughout the lessons, participants will transition from basic prompt engineering to constructing complex, tool-enabled agentic workflows. The curriculum covers vital modern techniques, including setting up Vector Databases like Pinecone for retrieval-augmented generation (RAG), developing Server-Sent Events (SSE) endpoints, and leveraging LangChain and LangGraph for structured agent control. Crucially, the course addresses real-world hosting, GDPR compliance, and essential security practices to safeguard agents against prompt injection and tool poisoning. This course is ideal for anyone looking to build secure, production-ready AI automations.

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    Arnold Oberleiter

    Industry

    AI

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    Arnold Oberleiter

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    Arnold Oberleiter is a technical educator and developer specializing in cutting-edge AI technologies, autonomous agents, and practical automation tools. His instructional style bridges the gap between complex theoretical concepts and direct, hands-on application. He specializes in breaking down advanced paradigms—such as LLMs (ChatGPT, Gemini, Claude), local deployment of diffusion models, agentic workflows with n8n and LangChain, and integrating AI into daily productivity, investing, and development. By focusing on real-world utility, Arnold guides his students through building tangible local AI architectures, securing autonomous agent installations, and implementing API integrations. He teaches with a pragmatic, project-driven approach, designed to strip away the…Show more

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    Program Overview

    Online Course

    Learning format

    Claude AI

    Subcategory

    $19.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Introduction to the Model Context Protocol (MCP): Practical tips to get started with the course and how LLMs can be extended using tools, prompts, and resources
    • MCP Basics & Tool Integration in Claude Desktop: Understand the JSON structure, compare server types, set up with Node.js, and install via the MCP Installer
    • Build Your Own Workflows in Claude Desktop: Access local applications, integrate databases, and connect API keys for secure interactions
    • Connect MCP with Cursor & Vibe Coding: Install Python via pyenv, understand the Cursor interface, connect to OpenAI or Claude, and use MCPs flexibly
    • API Keys & Access Control: Setup for OpenAI, OpenRouter & more, understand pricing differences, limitations, and project setup within Cursor
    • Host Your Own MCP Server in n8n: Install Node.js, cover basics like triggers and actions, understand MCP client vs. host, and configure your server securely
    • Extend the n8n MCP Server: Connect to Claude, Cursor, or GitHub nodes, integrate Zapier functionality for free, and add your own tools
    • Integrate Vector Databases into MCP: Manage Pinecone automatically via Google Drive, export workflows, and build RAG agents with vector search
    • HTTP Integration & GDPR-Compliant Hosting: Send HTTP requests to the MCP server even without an official MCP, learn hosting best practices
    • Use MCP in Flowise, LangChain & LangGraph: Install Flowise, understand the interface, compare agent platforms, and see real-world use cases
    • Tool Agents with MCP: Integrate access to emails, calendars, Airtable, web scraping, and Pinecone in Flowise for scalable automation
    • Flowise AI Agents V2 & New Features: Use LangGraph, work with SQLite as a record manager, and combine tool agents with vector access
    • Create Specialized Workflows with MCP: Voice control for LLMs, automations in Blender, custom image generation via OpenAI & n8n workflows
    • Develop Your Own Python MCP Server: Learn server programming basics, understand the GitHub repo, integrate tools, and use the MCP Inspector
    • Define Your Own Prompt Templates & Resources: Use the modelcontextprotocol Python SDK to manage custom prompts and data structures, and connect them to Claude
    • Build SSE Endpoints for the MCP Server: Enable real-time connections, trigger custom tools via events, and avoid common server development errors
    • Understand & Prevent MCP Security Risks: Recognize and mitigate tool poisoning, MCP rug pulls, jailbreaks, and prompt injections with secure strategies
    • Privacy, GDPR & Legal Frameworks for MCP: Know your rights and responsibilities when hosting, processing data, and using LLM tools in compliance with the law

    Best For

    • AI developers and software engineers looking to master the Model Context Protocol to create interoperable AI agents.
    • Automation specialists aiming to integrateClaude and Cursor with complex enterprise data via n8n and Flowise.
    • Developers interested in building secure, custom MCP servers using Python and the official SDK.
    • Professionals who need to build RAG-enabled agents with vector databases and LangGraph for production environments.

    Not For

    • Complete programming beginners who have no prior experience with Python, JSON, or basic API integration.
    • Individuals seeking a high-level conceptual overview of AI without interest in technical implementation, server-side development, or coding.

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