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

<div>The Model Context Protocol (MCP) is one of the most exciting new technologies in AI automation and agent development.</div><div><br></div><div>Because Large Language Models need more than just prompts — they need context, tools, and external resources.</div><div><br></div><div>With MCP, you can provide exactly that.</div><div><br></div><div>But how does it work in practice?</div><div><br></div><div>How do you build your own MCP servers?</div><div><br></div><div>How do you use clients like Claude Desktop, Cursor, Windsurf, n8n or Flowise?</div><div><br></div><div>And how can you automate, secure, and integrate it all into your own AI project?</div><div><br></div><div>In this course, you'll learn exactly that – step by step, clearly explained, with many examples and ready-to-use workflows.</div><div><span style="font-size: 1rem;"><br></span></div><div><span style="font-size: 1rem;">Fundamentals: Understand and Use the Model Context Protocol</span><br><ul><li><span style="font-size: 1rem;">Get a comprehensive overview of the MCP concept, how it works, and where to apply it</span></li><li><span style="font-size: 1rem;">Learn how tools, prompts, and resources can be connected to LLMs like Claude, GPT, or Gemini using MCP</span></li><li><span style="font-size: 1rem;">Start with practical tips, materials, and a dedicated course hub full of resources and curated references</span></li><li><span style="font-size: 1rem;">Understand the key principles of prompt engineering and how system prompts work in the MCP context</span></li></ul></div><div><span style="font-size: 1rem;">Integrate MCP in Claude Desktop &amp; Set Up Your First Servers</span></div><div><ul><li>Install Claude Desktop using Node.js and NVM and configure your first server structures</li><li><span style="font-size: 1rem;">Use JSON files and the official MCP installer to connect tools, databases, or your own APIs</span></li><li><span style="font-size: 1rem;">Understand different server types (tool servers, prompt servers, database MCPs) and their use cases</span></li><li><span style="font-size: 1rem;">Connect Claude Desktop with your local system or online services and enable API key–protected access</span></li><li><span style="font-size: 1rem;">Install Python using pyenv and set up the UV package manager for running your first local MCP server</span></li></ul></div><div><span style="font-size: 1rem;">Combine MCP with Cursor, Vibe Coding &amp; Python</span></div><div><ul><li>Set up Cursor as a flexible client, connect it to existing MCP servers (e.g., Zapier), and explore its limitations and strengths</li><li><span style="font-size: 1rem;">Use Vibe Coding and Python-based configurations to customize your MCP structure</span></li><li><span style="font-size: 1rem;">Manage API keys efficiently, understand pricing structures, and build your own cross-tool MCP setup</span></li></ul></div><div><span style="font-size: 1rem;">Create, Host &amp; Automate MCP Servers with n8n</span></div><div><ul><li><span style="font-size: 1rem;">Learn how to install and configure n8n locally and use it as a full-featured MCP platform</span></li><li><span style="font-size: 1rem;">Create triggers and actions, and use custom nodes to connect Claude, Cursor, GitHub, or Google Drive</span></li><li><span style="font-size: 1rem;">Integrate Pinecone and other vector databases for RAG agents directly into your MCP server</span></li><li><span style="font-size: 1rem;">Learn how to host MCP servers on a VPS and keep them running 24/7 with secure access</span></li><li><span style="font-size: 1rem;">Use authentication options and GDPR-compliant hosting strategies for secure deployments</span></li></ul></div><div><span style="font-size: 1rem;">Use MCP in Flowise, LangChain &amp; LangGraph</span></div><div><ul><li><span style="font-size: 1rem;">Install Flowise and build complex tool workflows (email, calendar, Airtable, web search) using Agent V2</span></li><li><span style="font-size: 1rem;">Use LangGraph to manage multi-step agent processes with clear role separation and tool execution</span></li><li><span style="font-size: 1rem;">Manage Pinecone databases via SQLite, combine LangChain functionality, and build scalable automations</span></li><li><span style="font-size: 1rem;">Explore the Flowise interface and create your own assistants with full MCP integration</span></li></ul></div><div><span style="font-size: 1rem;">Creative Projects &amp; Specialized Workflows with MCP</span></div><div><ul><li>Build voice interfaces for your LLM and control your AI through speech input using MCP</li><li><span style="font-size: 1rem;">Automate 3D workflows in Blender with Claude, Python, and your own MCP server</span></li><li><span style="font-size: 1rem;">Use the OpenAI API with n8n to generate images automatically</span></li><li><span style="font-size: 1rem;">Share ideas with the community and explore creative or unconventional use cases</span></li></ul></div><div><span style="font-size: 1rem;">Develop Your Own MCP Servers in Python</span></div><div><ul><li><span style="font-size: 1rem;">Learn how to write MCP servers using Python and TypeScript – including prompt handling, tool integration, and resources</span></li><li><span style="font-size: 1rem;">Use the modelcontextprotocol Python SDK to develop your own Claude-compatible prompt templates</span></li><li><span style="font-size: 1rem;">Use the MCP Inspector for debugging and diagnostics, and expand your setup with Server-Sent Events (SSE)</span></li><li><span style="font-size: 1rem;">Understand all transport types for MCP: STDIO, SSE, and Streamable HTTP – when and how to use them</span></li><li><span style="font-size: 1rem;">Publish your MCP server on GitHub and explore hosting options like Cloudflare, AWS, or Azure</span></li><li><span style="font-size: 1rem;">Avoid common mistakes and apply best practices for stable, secure server development</span></li></ul></div><div><span style="font-size: 1rem;">Security, Privacy &amp; Legal Foundations</span></div><div><ul><li><span style="font-size: 1rem;">Recognize and understand threats like tool poisoning, jailbreaks, prompt injections, and MCP rug pulls</span></li><li><span style="font-size: 1rem;">Secure your MCP server with API keys, authentication, and proper access control</span></li><li><span style="font-size: 1rem;">Understand key data privacy regulations like GDPR and the EU AI Act, and address the challenges of hosting generative AI</span></li><li><span style="font-size: 1rem;">Learn from real-world examples and get clear guidance on how to stay legally and technically compliant</span></li></ul></div><div><span style="font-size: 1rem;">After the course…</span></div><div><br></div><div>You will be able to build, host, develop, and integrate MCP-based agents into tools like Claude, n8n, Cursor, or Flowise.</div><div>You will know how to create secure MCP servers, combine them for your own projects, and even offer them as a service.</div><div>Whether for business or personal ideas – this course gives you full control over the MCP ecosystem.</div>

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