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Join us for Moshi Toastmasters Club Meetings (Hybrid) We meet every Saturday! Time: 6:10 PM onwards Online: Zoom Meeting ID: 819 4955 5108 | Passcode: 589358 https://us06web.zoom.us/j/81949555108?pwd=bC0b1au3citt81jU7ae0zhahyYfXjM.1 Offline: Global Achievers School, Near Moshi Toll Plaza, Gaikwad Vasti, Moshi, Pimpri-Chinchwad, Maharashtra 412105 https://maps.app.goo.gl/5gYraevFLmMviVwp9 Get ready for an evening of inspiring speeches and insightful discussions! Contact TM Prashant +91 91455 13682 for more details

### Tools in your AI's Toolbox : An introduction to MCP Servers The generative AI revolution has unlocked unprecedented capabilities, but the next frontier is agency: empowering models to interact with, query, and act upon the world. The current challenge is the “N x M integration problem,” where every AI model requires a custom, brittle integration for each external tool or data source. This approach simply doesn’t scale. How can we give an AI access to our sales leads, code repositories, or IoT devices in a standardized, secure, and reusable way? This session introduces Anthropic’s Model Context Protocol (MCP), the open-source framework designed to solve this challenge and become the universal connector—the USB-C port—for AI. MCP standardizes how AI models discover and use external tools, moving beyond simple function-calling to a robust, client-server architecture. We will dive into how this open protocol is creating a new ecosystem for building powerful, context-aware AI agents. Join this session for a developer-focused introduction where you will learn how to: Understand the core concepts of the open-source Model Context Protocol and its architecture. Utilize pre-built, open-source MCP servers to instantly connect AI to tools like Git, Slack, and databases. Build a custom MCP server to securely expose your own proprietary data and APIs as tools for any compliant AI. Move beyond bespoke integrations and contribute to a standardized, collaborative, and open ecosystem. Stop building one-off connectors and start building intelligent agents. This session will give you the practical knowledge to leverage MCP and create the next generation of AI that doesn’t just talk, but does. Want to be a speaker? submit your talk to our Call for Presenters!!! [https://sessionize.com/azure-cbus-2026/](https://sessionize.com/azure-cbus-2026/)

Join us for a CMG Discount Tuesday event to see the hilarious, action-packed and absolutely-bonkers-looking sci-fi-action-comedy, GOOD LUCK, HAVE FUN, DON’T DIE! The film follows a man from the future who recruits diners at an LA restaurant to help combat rogue AI. Here’s a description, trailer and our plan for this event: GOOD LUCK, HAVE FUN, DON’T DIE: A man from the future arrives at a diner in Los Angeles where he must recruit the precise combination of disgruntled patrons to join him on a one-night quest to save the world from the terminal threat of a rogue artificial intelligence. The film is directed by Gore Verbinski (Pirates of the Caribbean series) and stars Sam Rockwell, Haley Lu Richardson, Michael Peña, Zazie Beetz, Asim Chaudhry, Tom Taylor, and Juno Temple. TRAILER: https://www.youtube.com/watch?v=MkFW7BZyqkI EARLY BUZZ AND REVIEWS: Early reviews have been stellar with the film earning a 94% positive rating on Rotten Tomatoes! “It offers laughs, thrills, and it’s a thinker; you will not be disappointed.” It’s a “laugh-filled yet incredibly dark and poignant fever dream that pleads for a safer AI tomorrow” and director Gore Verbinski's “command over utter chaos is nothing short of marvelous!” PLAN: Please purchase your ticket for the 6:20pm showing and meet in the bar area between 5:45 and 6:00pm! A smaller theater so advance ticket purchase as soon as possible is advised! (If we fill it up, we can sometimes persuade them to move it to a larger theater.) One you have yours, please list your seat number in the Comments below. Should be a fun one, Dan

**People Analytics 101: Making Sense of Compensation Data** Compensation data is one of the most widely used and widely misunderstood forms of people analytics. The session will cover where compensation data comes from, including market pricing data, internal payroll data, and benchmarking sources, and how companies think about structuring and analyzing that information. We will explore how compensation data is leveraged to set salary ranges, manage internal equity, support hiring and retention, and align pay with business strategy. A portion of the session will address common data challenges and limitations, such as market noise, inconsistent job matching, and incomplete datasets, while keeping the primary focus on practical use rather than technical depth. The session will also look ahead at where the space is going, including the growing impact of pay transparency laws, expanding pay equity requirements, and emerging regulations in the US and Europe that require organizations to report on gender and pay gaps. The goal is to give attendees a clear mental model for how compensation analytics works today and why getting it right is becoming increasingly critical. (note: we are back at Rev1 this month!) **About Our Speaker** [Alex Moore](https://www.linkedin.com/in/alexscottmoore/) is the founder of [Moore Cooperative](https://moorecooperative.com/), where he advises organizations on compensation strategy, pay equity, and people analytics. His work focuses on helping organizations like the Ohio Supreme Court design, analyze, and communicate compensation systems that are data-informed, defensible, and aligned with organizational goals. Alex lives in Granville, Ohio and has three little kiddos. More info at [cbusdaw.com](https://cbusdaw.com)

I love my job and one of the main things I do is help customers get going with any of the data technologies at Microsoft. Right now there are a lot of my customers asking about Microsoft Fabric. It's hard to weave across all the shiny new options across the Fabric landscape, let alone figure out where it fits into your organization. In this session we'll focus on answering one question - how can I get data into Fabric? We'll talk through the "it depends" options and see some of the options in live demos.

Our monthly PHP meetup. A virtual shindig courtesy of Zoom. Check back here for the details around 6:15 pm