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Category: mcp

  • Claude Skills and Subagents: Escaping the Prompt Engineering Hamster Wheel

    Claude Skills and Subagents: Escaping the Prompt Engineering Hamster Wheel How reusable, lazy-loaded instructions solve the context bloat problem in AI-assisted development. The post Claude Skills and Subagents: Escaping the Prompt Engineering Hamster Wheel appeared first on Towards Data Science. Ruben Broekx Go to original source

  • From Monolith to Contract-Driven Data Mesh

    From Monolith to Contract-Driven Data Mesh A pragmatic journey using website analytics as a real-world example The post From Monolith to Contract-Driven Data Mesh appeared first on Towards Data Science. Corné POTGIETER Go to original source

  • How to Keep MCPs Useful in Agentic Pipelines

    How to Keep MCPs Useful in Agentic Pipelines Check the tools your LLM uses before replacing it with just a more powerful model The post How to Keep MCPs Useful in Agentic Pipelines appeared first on Towards Data Science. Roman S Go to original source

  • Tools for Your LLM: a Deep Dive into MCP

    Tools for Your LLM: a Deep Dive into MCP MCP is a key enabler into turning your LLM into an agent by providing it with tools to retrieve real-time information or perform actions. In this deep dive we cover how MCP works, when to use it, and what to watch out for. The post Tools…

  • How I Use AI to Convince Companies to Adopt Sustainability

    How I Use AI to Convince Companies to Adopt Sustainability Discover how Claude can act as a Supply Chain Sustainability Analyst and guide companies toward greener, more efficient inventory management. The post How I Use AI to Convince Companies to Adopt Sustainability appeared first on Towards Data Science. Samir Saci Go to original source

  • Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP

    Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP Use Claude AI to monitor, analyse, and troubleshoot your n8n automation workflows through natural conversation. The post Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP appeared first on Towards Data Science. Samir Saci Go to…

  • Using Claude Skills with Neo4j

    Using Claude Skills with Neo4j A hands-on exploration of Claude Skills and their potential applications in Neo4j The post Using Claude Skills with Neo4j appeared first on Towards Data Science. Tomaz Bratanic Go to original source

  • MCP in Practice

    MCP in Practice Mapping power, concentration, and usage in the emerging AI developer ecosystem The post MCP in Practice appeared first on Towards Data Science. Sruly Rosenblat Go to original source

  • How to Connect an MCP Server for an AI-Powered, Supply-Chain Network Optimization Agent

    How to Connect an MCP Server for an AI-Powered, Supply-Chain Network Optimization Agent From prompt to strategic decision-making: MCP-powered agents for cost-efficient, reliable and sustainable supply chain network design. The post How to Connect an MCP Server for an AI-Powered, Supply-Chain Network Optimization Agent appeared first on Towards Data Science. Samir Saci Go to original…

  • Creating and Deploying an MCP Server from Scratch

    Creating and Deploying an MCP Server from Scratch A step-by-step guide for putting an MCP server online in minutes The post Creating and Deploying an MCP Server from Scratch appeared first on Towards Data Science. Vyacheslav Efimov Go to original source

  • Preventing Context Overload: Controlled Neo4j MCP Cypher Responses for LLMs

    Preventing Context Overload: Controlled Neo4j MCP Cypher Responses for LLMs How timeouts, truncation, and result sanitization keep Cypher outputs LLM-ready The post Preventing Context Overload: Controlled Neo4j MCP Cypher Responses for LLMs appeared first on Towards Data Science. Tomaz Bratanic Go to original source

  • Tool Masking: The Layer MCP Forgot

    Tool Masking: The Layer MCP Forgot Tool masking for AI improves AI agents: shape MCP tool surfaces to cut tokens and errors, boost speed and reliability. Start prompt engineering your tools The post Tool Masking: The Layer MCP Forgot appeared first on Towards Data Science. Frank Wittkampf Go to original source

  • Using LangGraph and MCP Servers to Create My Own Voice Assistant

    Using LangGraph and MCP Servers to Create My Own Voice Assistant Built over 14 days, all locally run, no API keys, cloud services, or subscription fees. The post Using LangGraph and MCP Servers to Create My Own Voice Assistant appeared first on Towards Data Science. Benjamin Lee Go to original source

  • The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons

    The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons Unless you’re someone who lives and breathes cybersecurity, chances are you didn’t think much about authentication, network exposure, or what happens if someone else finds your server. This guide isn’t here to kill the excitement—it’s here to help you use MCP without opening the…

  • How to Evaluate Graph Retrieval in MCP Agentic Systems

    How to Evaluate Graph Retrieval in MCP Agentic Systems A framework for measuring retrieval quality in Model Context Protocol agents. The post How to Evaluate Graph Retrieval in MCP Agentic Systems appeared first on Towards Data Science. Tomaz Bratanic Go to original source

  • MCP Client Development with Streamlit: Build Your AI-Powered Web App

    MCP Client Development with Streamlit: Build Your AI-Powered Web App MCP client development with Streamlit to enhance the tool calling capabilities of remote MCP servers, from setting up your development environment and securing API keys, handling user input, connecting to remote MCP servers, and displaying AI-generated responses. The post MCP Client Development with Streamlit: Build…

  • Building a Сustom MCP Chatbot

    Building a Сustom MCP Chatbot Understanding all the details of the model context protocol The post Building a Сustom MCP Chatbot appeared first on Towards Data Science. Mariya Mansurova Go to original source

  • Your Personal Analytics Toolbox

    Your Personal Analytics Toolbox Leveraging MCP for automating your daily routine The post Your Personal Analytics Toolbox appeared first on Towards Data Science. Mariya Mansurova Go to original source

  • An Introduction to Remote Model Context Protocol Servers

    An Introduction to Remote Model Context Protocol Servers Writing, testing and using them. The post An Introduction to Remote Model Context Protocol Servers appeared first on Towards Data Science. Thomas Reid Go to original source

  • Model Context Protocol (MCP) Tutorial: Build Your First MCP Server in 6 Steps

    Model Context Protocol (MCP) Tutorial: Build Your First MCP Server in 6 Steps A beginner-friendly tutorial of MCP architecture, with the focus on MCP server components and applications, guiding through the process of building a custom MCP server that enables code-to-diagram. The post Model Context Protocol (MCP) Tutorial: Build Your First MCP Server in 6…

  • How I Finally Understood MCP — and Got It Working in Real Life

    How I Finally Understood MCP — and Got It Working in Real Life Table of Content Introduction: Why I Wrote This The Evolution of Tool Integration with LLMs What Is Model Context Protocol (MCP), Really? Wait, MCP sounds like RAG… but is it? In an MCP-based setup In a traditional RAG system Traditional RAG Implementation MCP Implementation…

  • How Not to Write an MCP Server

    How Not to Write an MCP Server I recently had the chance to create an MCP server for an observability application in order to provide the AI agent with dynamic code analysis capabilities. Because of its potential to transform applications, MCP is a technology I’m even more ecstatic about than I originally was about genAI…

  • ACP: The Internet Protocol for AI Agents

    ACP: The Internet Protocol for AI Agents With ACP (Agent Communication Protocol), AI agents can collaborate freely across teams, frameworks, technologies, and organizations. It’s a universal protocol that transforms the fragmented landscape of today’s AI Agents into inter-connected team mates. This unlocks new levels of interoperability, reuse, and scale. As an open-source standard with open…

  • Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work

    Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work “It is not the strongest of the species that survives, nor the most intelligent, but the one most responsive to change.” – Charles Darwin, Originator of Evolutionary Theory Not long ago, I came across an article about a CEO, who was visibly…

  • A Farewell to APMs — The Future of Observability is MCP tools

    A Farewell to APMs — The Future of Observability is MCP tools Image generated using Midjourney The past years have been an absolute rollercoaster (or joyride) of rapidly evolving generative AI technologies. In the twenty-five years I’ve counted myself a software developer, I cannot recall a tectonic shift of a similar magnitude, one that is already fundamentally changing…