#Mcp Protocol

🚀 Unlock the power of MCP servers in 2025! Discover how Model Context Protocol is revolutionizing AI applications. Discover these 3 essential MCP servers that every developer should be utilizing: 🔍 Brave Search MCP Server: • Delivers real-time web search when your models need current information • Perfect for finding the latest API changes not covered in your model • Keeps your AI applications updated with the freshest data available 📚 AWS Documentation MCP Server: • Streamlines AWS documentation searches and interpretation • Makes complex technical information instantly accessible • Enhances productivity when building on AWS infrastructure 🧑‍💻 GitHub MCP Server • Create repositories, issues, and pull requests seamlessly • Search and analyze your codebase for improvements and optimizations 🔗 Click the link in bio to get started! What MCP servers would most benefit your current projects? Share your thoughts below. Follow @awsdevelopers for more cloud content. ---------------------------------- #CloudComputing #generativeAI #DeveloperTools #AIInnovation #AWSCommunity

5 Claude MCP Servers that you need to install #ai #tech

5 MCPs that will save you time… #vibecoding #mcp

How to build your own MCP Server 👨‍💻 In this video, I explain how to buiild your own MCP server from scratch. #mcp #ai #startup #developer

ChatGPT can write you an essay. But can it read your Google Drive? Check your calendar? Update your Slack? Not without MCP. The Model Context Protocol is the invisible standard that’s turning chatbots into agents that can actually do things. Think of it as USB-C for AI — one universal plug that connects any AI model to any tool. Before MCP, connecting an AI to your tools meant building custom code for every single combination. 5 tools x 3 AI models = 15 separate integrations. Every time you switched AI providers, you rebuilt everything. MCP fixes this. Build one connection and it works with Claude, ChatGPT, Gemini, and anything else that supports the protocol. Created by Anthropic in November 2024 and now adopted by OpenAI and Google. Donated to the Linux Foundation in December 2025. Fully open source. This is the protocol that makes AI agents possible. And almost nobody outside of developers knows it exists. Now you do. Part 6 of the AI explainer series. #AIExplained #MCP #AIAgents #HowAIWorks #modelcontextprotocol

Key Protocols of Network

Bet you didn’t think it was really this easy! 😆😆 Hopefully you share these tools with your friends and others too haven’t gotten started w MCP yet! and i added the link in my bio for easier access so you can start building your own MCP Server too! Shoutout to @getpostman for sponsoring this and making development easier for all of us!

tl;dr: MCP essentially work as universal API for AI models that work across different data sources.  if you wanna further deep dive about MCP then here are few resources: 1. @gregisenberg's video with Ras Mic where they breakdown MCP in simplest manner. 2. Ras Mic MCP setup tutorial in his youtube channel. 3. @marwankashef YT channel, where he has couple of videos around MCP  watch, understand and tinker around it. and reminder to not just consume information or simply binge watch those videos. [startup, ycombinator, software development, SaaS, AI, Claude, ChatGPT]

Model Context Protocol (MCP), ill upload another video on what the best integrations are after I explore some more 😭 Follow for more CS content!

RAG vs MCP — most people confuse these two. They’re NOT competitors. 👉 RAG = reads your data 👉 MCP = acts on live systems RAG pulls from docs (policies, PDFs, knowledge base) and gives grounded answers. MCP connects to real systems (APIs, DBs) to fetch live data or take actions. Example: “What’s the return policy?” → RAG “Is my order eligible?” → MCP 👉 Real systems use BOTH. Rule: Know → RAG Do → MCP Production → Both Save this — you’ll need it. #aiengineering #systemdesign #rag #mcp #backenddevelopment

What sounds like a club drug, but is actually humans across the globe working together for a more prosperous future? Say it with me now… model👏🏼 context 👏🏼protocol👏🏼! If you wanna jump in and get started playing around with MCP, I highly recommend Zapier MCP. It comes baked in with over 8000 app connections already, including Google sheets, Airtable, and Slack. Check it out at the link in bio! @zapier #sponsored

Comment “MCP” & I’ll send you the links via DM ✨ 📜 The concept of MCP is very new. In late 2024, Anthropic introduced MCP (Model Context Protocol) because LLMs needed a cleaner, safer way to interact with the outside world. MCP is like giving models a shared language to access tools, trigger workflows, and pull data. The entire point of MCP is to make LLM’s more capable in a standardized way. 💡These are some of the resources I found helpful when starting to build MCP servers & clients. I limited it to beginner friendly resources I thought were great but lmk if it would be helpful to share more advanced finds as well. Hope this helps others! Are there others you would add to the list? Lmk in the comments & as always Happy Building! 💻 Relevant tags 🏷️ [ai engineer, genai career, software engineer, software developer, MCP roadmap, how to learn ai, python for ai, lim from scratch, build in public, ai agent builder, deep learning 2025, ai portfolio project, ml roadmap, ai learning journey, agentic ai]