Overview

The Model Context Protocol (MCP) is one of the most exciting new technologies in AI automation and agent development.Because Large Language Models need more than just prompts - they need context, tools, and external resources.With MCP, you can provide exactly that.But how does it work in practice?How do you build your own MCP servers?How do you use clients like Claude Desktop, Cursor, Windsurf, n8n or Flowise?And how can you automate, secure, and integrate it all into your own AI project?In this course, you'll learn exactly that - step by step, clearly explained, with many examples and ready-to-use workflows.Fundamentals: Understand and Use the Model Context ProtocolGet a comprehensive overview of the MCP concept, how it works, and where to apply itLearn how tools, prompts, and resources can be connected to LLMs like Claude, GPT, or Gemini using MCPStart with practical tips, materials, and a dedicated course hub full of resources and curated referencesUnderstand the key principles of prompt engineering and how system prompts work in the MCP contextIntegrate MCP in Claude Desktop & Set Up Your First ServersInstall Claude Desktop using Node.js and NVM and configure your first server structuresUse JSON files and the official MCP installer to connect tools, databases, or your own APIsUnderstand different server types (tool servers, prompt servers, database MCPs) and their use casesConnect Claude Desktop with your local system or online services and enable API key-protected accessInstall Python using pyenv and set up the UV package manager for running your first local MCP serverCombine MCP with Cursor, Vibe Coding & PythonSet up Cursor as a flexible client, connect it to existing MCP servers (e.g., Zapier), and explore its limitations and strengthsUse Vibe Coding and Python-based configurations to customize your MCP structureManage API keys efficiently, understand pricing structures, and build your own cross-tool MCP setupCreate, Host & Automate MCP Servers with n8nLearn how to install and configure n8n locally and use it as a full-featured MCP platformCreate triggers and actions, and use custom nodes to connect Claude, Cursor, GitHub, or Google DriveIntegrate Pinecone and other vector databases for RAG agents directly into your MCP serverLearn how to host MCP servers on a VPS and keep them running 24/7 with secure accessUse authentication options and GDPR-compliant hosting strategies for secure deploymentsUse MCP in Flowise, LangChain & LangGraphInstall Flowise and build complex tool workflows (email, calendar, Airtable, web search) using Agent V2Use LangGraph to manage multi-step agent processes with clear role separation and tool executionManage Pinecone databases via SQLite, combine LangChain functionality, and build scalable automationsExplore the Flowise interface and create your own assistants with full MCP integrationCreative Projects & Specialized Workflows with MCPBuild voice interfaces for your LLM and control your AI through speech input using MCPAutomate 3D workflows in Blender with Claude, Python, and your own MCP serverUse the OpenAI API with n8n to generate images automaticallyShare ideas with the community and explore creative or unconventional use casesDevelop Your Own MCP Servers in PythonLearn how to write MCP servers using Python and TypeScript - including prompt handling, tool integration, and resourcesUse the modelcontextprotocol Python SDK to develop your own Claude-compatible prompt templatesUse the MCP Inspector for debugging and diagnostics, and expand your setup with Server-Sent Events (SSE)Understand all transport types for MCP: STDIO, SSE, and Streamable HTTP - when and how to use themPublish your MCP server on GitHub and explore hosting options like Cloudflare, AWS, or AzureAvoid common mistakes and apply best practices for stable, secure server developmentSecurity, Privacy & Legal FoundationsRecognize and understand threats like tool poisoning, jailbreaks, prompt injections, and MCP rug pullsSecure your MCP server with API keys, authentication, and proper access controlUnderstand key data privacy regulations like GDPR and the EU AI Act, and address the challenges of hosting generative AILearn from real-world examples and get clear guidance on how to stay legally and technically compliantAfter the course…You will be able to build, host, develop, and integrate MCP-based agents into tools like Claude, n8n, Cursor, or Flowise. You will know how to create secure MCP servers, combine them for your own projects, and even offer them as a service.Whether for business or personal ideas - this course gives you full control over the MCP ecosystem.

Skills

Reviews