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COMING UP

Climate Week NYC
Sep 20 - Sep 27
 
 
 
 
 
 
 
Popular Event 
With Dean Grover (Founder, Chanl AI).
Aug 11 (Tue) @ 05:30 PM       FREE
Fordham Gabelli School of Business, 140 W 62nd St

 
      Register      
 
Bring your product, API, or idea. Learn how to turn one useful capability into an MCP tool that AI assistants can understand & use.

Hosted by Dean Grover, Founder at chanl.ai with CAST-GNY & Bond AI.

Most people meet MCP as a developer feature: a way to let Claude use your tools. That is true, but it undersells it.

Build one MCP server & it can connect your product to Claude, ChatGPT, Cursor, Copilot, Gemini, Perplexity, & many other AI clients.

One protocol. One build. Integrated with many AI assistants with millions of users.

That makes MCP more than an integration. It could become a new distribution channel for your product.

The honest version is that being connectable everywhere does not make you discoverable everywhere. Each platform has its own directories, approval processes, & rules.

Both sides are worth understanding before you build.

Your tool description is your landing page - & the AI agent or the model is the buyer reading it.

That is why this workshop is both technical & commercial. We will look at what to expose, how to build it, how models decide to use it, & what changes when you make it available to others.

The hands-on challenge
You will work individually or in a small group to turn one product capability into an MCP tool.

You will:

Choose one useful action from a product or API

Define when an assistant should & should not use it

Write the tool name, description, inputs, & response

Build & test it locally

See what happens when the model gets it wrong

Explore different ways to publish it

Add a security or safety guard

Bring your own product or use one of the examples provided.

Connect, Build, & Publish
Connect

Start by using an existing MCP service through a platform such as Composio.

You will connect an application, make its tools available to an assistant, & see how the model decides what to call.

Build

Create your own MCP tool locally using FastMCP.

The goal is not to build a complete integration. It is to create one useful tool & test whether the model understands:

When to call it

What information it needs

When not to call it

What to do when something fails

Publish

Learn how a local MCP server becomes a remote service that other people & assistants can access.

We will compare infrastructure options such as Cloudflare & Vercel with managed alternatives.

Protobox.ai, a beta product, will be available as one optional managed path for publishing & testing your MCP tools - with a free pro account for attendees.

What we'll learn
How MCP connects AI assistants with products & services

How to choose the right product capability to expose

How models decide when to call a tool

Why tool names, descriptions, & schemas matter

How to build locally with FastMCP

How remote MCP deployment works

How Cloudflare, Vercel, & managed platforms differ

How to test ambiguous, incorrect, & unsafe requests

Where MCP fits into product strategy & go-to-market

Security & production Readiness
A local demo & a customer-facing MCP server are not the same thing.

We will discuss:

Authentication & user permissions

Protecting credentials & API keys

Input validation

Read-only versus write access

Confirmation for sensitive actions

Logging, monitoring, & rate limits

You will also test whether another participant can make your tool perform an action it should reject.

Who It's For
Founders exploring MCP as a product or distribution channel

Product managers deciding what assistants should be able to do

Engineers looking for practical MCP experience

GTM, growth, & developer relations teams evaluating MCP

Anyone who has experimented with MCP but has not published a tool

No prior MCP experience is required.

Non-technical attendees can focus on the use case, tool design, testing, & product strategy while pairing with a builder.

What You'll Leave With
Experience using an existing MCP service

A clearly defined MCP use case

A local MCP server built with FastMCP

Practical experience testing model tool calls

An understanding of different publishing options

A security & production-readiness checklist

Optional access to a free Protobox beta account

Agenda
5:30-6:00 PM
Arrival, setup, & pairing

6:00-7:45 PM
Presentation & Hands-on workshop

7:45-8:15 PM
Demos & wrap-up

Before You Arrive
Bring:

A laptop & charger

A Claude account

One idea for something an AI assistant should do with a product

If you plan to code:

Python 3.10 or later

A code editor

A GitHub account

Example use cases & starter projects will be available.

Workshop Lead
Dean Grover is founder at Chanl.ai.

He has spent more than two decades building software products & platforms, including systems delivered through Cisco & Paramount that reached more than 100 million homes.

Today, he builds AI products & infrastructure full-time. He also runs an AI Incubator for Solopreneurs @ Fabrik NYC.

Join us & see all upcoming events at luma.com/chanl

Connect with Dean & ask questions about the event or any help on these topics at https://www.linkedin.com/in/deangrover/

Logistics
Free to attend. Capacity is limited because this is a hands-on workshop.

Fordham Gabelli School of Business
140 West 62nd Street
Tiered Lecture Hall 333

Bring a photo ID & allow time for building security.

Food & drinks are not permitted inside the lecture hall.

If your plans change, please release your registration so someone on the waitlist can attend.



CAST-GNY
Chinese Association for Science & Technology USA(CAST-USA) was founded in 1992 in New York, as an US nonprofit, nonpolitical organization. CAST-USA Greater New York(CAST-GNY) is the founding & one of the most active chapters among CAST-USA's 16 chapters, with a network of close to 10000. It aims to promote learning, innovation, & exchange/cooperation among science & technology professionals & entrepreneurs. It's a platform for education, networking & mentoring, focus on career development/entrepreneurship & empowering next generation in Science & Technology & leadership, through events such as knowledge sharing seminars, career development events, entrepreneurship exchange, youth STEM project competition & summer camps, startup competition & annual summit.
 
 
 
 
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