For all the techies ... ever consider how to build your own MCP Server??? Here is a tutorial probably worth it. To build an MCP (Model Context Protocol) server, you'll need to set up a development environment, define tools and resources, and implement the server logic to handle requests from clients. The MCP standard enables AI models to interact with external tools and services, making it easier for agents to access and utilize various functionalities. https://youtu.be/egVm_z1nnnQ?si=34eVdx8fSL6eaaq_ https://dev.to/debs_obrien/building-your-first-mcp-server-a-beginners-tutorial-5fag

Noone left behind ... or perhaps willing to stay behind should the new mantra ! No the one to be outdone Docker is going full-in on MCP servers with an entire catalogue. The Docker MCP Catalog is a trusted, Docker-Hub–integrated registry that hosts over 100 verified, versioned MCP servers packaged as Docker images, enabling instant, isolated, and consistent tool deployment. By containerizing each MCP server, it eliminates environment conflicts, streamlines setup, and ensures predictable cross-platform behavior. The catalog, accessible via Docker Hub, Docker Desktop, and GitHub, also offers straightforward contribution and fast publication workflows for partners such as New Relic, Stripe, and Grafana. #docker #mcp #mcpservers #dockerhub #dockerdesktop #containerization #claude #anthropic #aitools #devtools #microservices #serverless #kubernetes #crossplatform #aiintegration #tooldeployment #newrelic #stripe #grafana #registry https://www.youtube.com/watch?v=98M_6njOnus&ab_channel=Docker

Apify's MCP Server enables integration with over 4,000 Apify Actors, allowing users to connect a vast range of data extraction and automation tools. This integration can be particularly useful for creating AI agents or incorporating web data into workflows. Apify seems to offer solutions for monetization related to these MCP Servers. The use of MCP Server allows for the easy integration of actors with different LLMs. #apify #mcpserver #dataextraction #webautomation #aiagents #llmintegration #webscraping #scrapy #beautifulsoup #selenium #puppeteer #playwright #automation #datamining #webdata #workflows #monetization #actors #integration #ai https://docs.apify.com/platform/integrations/mcp https://apify.com/integrations

In this theater session, Software Engineer Eleanor Boyd walks through building a custom MCP (Model Context Protocol) server in Visual Studio Code using GitHub Copilot and Python. She walks through a real use case, fetching PyPI package data, and shows how to connect your tool to Copilot’s Agent Mode for powerful AI-assisted coding. #MCP #ModelContextProtocol #VisualStudioCode #GitHubCopilot #Python #PyPI #AIAssistedCoding #AgentMode #SoftwareEngineering #CodeDevelopment #AItools #Codegen #CodeCompletion #Tabnine #AmazonCodeWhisperer #JetBrainsAIAssistant https://youtu.be/SYcQXozpb_E?si=8QgX0-7lr3WsA0ZJ

🚀 Unlock the Power of Model Context Protocol (MCP) with Sampling! 🌟 In the latest installment of the MCP crash course, we dive into sampling, one of the most powerful features of the protocol. This innovative approach allows servers to delegate tasks back to the client's LLM, enabling a seamless integration of AI functionalities without overwhelming server resources. Key Highlights: Bidirectional Architecture: While LLM clients typically invoke server logic, sampling lets servers request input from the client’s AI model, creating a more efficient workflow. Cost Efficiency: By transferring the burden of AI computation to the client, it reduces server load and associated costs. Flexibility & Scalability: Clients can choose their preferred models for different requests, which enhances application scalability and user customization. By implementing sampling, developers can build better, more responsive AI-driven applications. Discover how to optimize your MCP servers and improve the overall performance with practical examples and best practices in the full article! #AI #MachineLearning #TechInnovation #ModelContextProtocol #MCP #Sampling #ServerSideLogic #LLM #OpenSource #DevCommunity https://www.dailydoseofds.com/model-context-protocol-crash-course-part-5/

ElevenLabs offers a free, experimental AI voice assistant, 11ai, designed for voice-first interactions. During its experimental phase, free access is provided to gather user feedback and showcase its capabilities. Users can build and customize their own AI voice assistants, integrating them with numerous tools. The AI assistant can automate tasks, leveraging MCP integration. The emphasis is on voice-first interaction and task automation, making it accessible and easy to use. https://11.ai/app/sign-in?redirect=%2F #AIRevolution #VoiceAssistant #TechInnovation #AI #Automation #FutureTech #ElevenLabs #VoiceTechnology #TechForGood #DigitalTransformation #Innovation #SmartTech #TechTrends #AIIntegration #VoiceFirst #AutomationTools

Welcome to 11ai Experimental The personal AI voice assistant, built with ElevenLabs Conversational AI. The ultimate personal assistant Plan your day, research customers with Perplexity, manage Linear tickets, and message your Slack team - all with just your voice. MCP support Out-of-the-box connections to Perplexity, Linear, Slack, and more. Or connect your own MCP servers for custom workflows. Choose from 5,000+ voices Pick the perfect voice from our library or clone your own in seconds. https://elevenlabs.io/blog/introducing-11ai #AIRevolution #VoiceAssistant #11ai #FutureTech #ProductivityTools #AIInnovation #TechLovers #AIForEveryone #DigitalAssistant #WorkSmarter #VoiceTech #ElevenLabs #AIIntegration #TechTrends #SmartLife

https://towardsdatascience.com/model-context-protocol-mcp-tutorial-build-your-first-mcp-server-in-6-steps/