​An event for MCP builders with Datadog, Alpic, Mux, Twelve Labs and MCP Jam!

​Agenda

​​​​​​5:30 pm - Welcome

​5:45 pm - Opening Remarks

​​​​​​🎤 Frederic Bartelet and Erica Beavers, cofounders @Alpic

​​​​​​6-7:15 pm - Talks!

​1. Building useful MCP servers
Reilly Wood, Senior Software Engineer at Datadog

Reilly shares lessons learned from building Datadog's official MCP server. Learn how to go beyond simple API wrappers and build tools that agents can use to solve problems effectively.

​2. MCP server testing and evals 

​Matthew Wang, Founder & CEO of MCPJam 

​You have an MCP server up in production, but how can you ensure it works? We’ll go over how to test your MCP server at the development stage, and how to set up E2E testing for your server that’s up in production.

​3. Unlocking Agentic Video Intelligence with TwelveLabs MCP Server
James Le, Head of Developer Experience at TwelveLabs

This talk will go over TwelveLabs' multimodal foundation models for video understanding and demo the TwelveLabs MCP server that enables semantic video search, video content analysis, and video embedding generation.

​4. Run What AI Writes: Secure Sandboxes for Code Generation

​Nikola Radisic, Senior Solutions Engineer at Daytona

​Nikola shows how secure, fast, and scalable sandboxes make AI-generated code actually runnable. Learn the technical requirements for building sandboxing tools and how connecting agents to this infrastructure unlocks workflows like analysis, testing, and reinforcement learning.

​5. "More tools more problems" 

​Matt McClure, Co-founder & Head of DevEx at Mux

​You're really proud of your API and its many, many endpoints. Look at all that sweet functionality you're about to be able to expose via an MCP server. …and blow away the entire context window with tools. Let's talk about limiting tools, dynamic tools, going ham with many MCP servers, or…*gasp* whether or not an MCP makes sense at all.

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​7:15-8:30 pm - Networking

​​With pizzas and drinks

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​​​About MCP Connect

​MCP Connect is for developers, researchers, and enthusiasts working with the Model Context Protocol and AI agents. We share best practices, new tools, and real-world use cases for building MCP servers and integrating them into agent workflows. Whether you are deploying services, experimenting with protocols, or exploring how agents connect to applications, MCP Connect is a place to exchange ideas, learn, and help shape the future of agentic AI workflows.