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Building MCP Toolserver for Claude - Narration Script

Table of Contents

Opening Hook (0:00-0:15) #

What if I told you that you could extend Claude’s capabilities by building your own custom tools? Today, we’re diving into the Model Context Protocol - or MCP - and I’ll show you exactly how I built a toolserver that gives Claude superpowers it never had before.

Problem Setup (0:15-0:45) #

Here’s the thing about AI assistants - they’re incredibly powerful, but they’re also limited by their built-in capabilities. Claude can write code, analyze data, and solve complex problems, but what if you need it to interact with your specific APIs, access your databases, or work with tools that don’t exist yet?

That’s where MCP comes in. Think of it as a bridge between Claude and the external world.

What is MCP? (0:45-1:30) #

The Model Context Protocol is Anthropic’s open standard that lets you create custom tools and resources that AI models can use. Instead of being limited to what’s built into Claude, you can extend its capabilities with your own toolserver.

Here’s how it works: You build a server that implements the MCP protocol, define the tools and resources you want to provide, and then Claude can discover and use these tools just like its built-in capabilities.

Demo Setup (1:30-2:00) #

For this project, I wanted to build something practical - a toolserver that could help with my development workflow. I decided to create tools for:

  • Git repository management
  • File system operations
  • API testing and documentation
  • Database queries

Let me show you the architecture first, then we’ll dive into the code.

Architecture Walkthrough (2:00-3:00) #

[Screen recording showing architecture diagram]

The toolserver runs as a separate process and communicates with Claude through the MCP protocol. When Claude needs to use one of our custom tools, it sends a request to our server, we execute the operation, and send back the results.

The beauty of this approach is that it’s completely extensible - you can add new tools without changing Claude itself.

Code Implementation (3:00-6:00) #

[Screen recording of actual code]

Let’s start with the basic server setup. I’m using Python with the MCP SDK…

[Continue with detailed code walkthrough]

Testing and Results (6:00-7:30) #

[Screen recording showing the tools in action]

Now let’s see this in action. I’ll ask Claude to help me analyze a Git repository using our custom tools…

Wrap-up and Next Steps (7:30-8:00) #

And there you have it - a fully functional MCP toolserver that extends Claude’s capabilities. The possibilities here are endless. You could build tools for your specific domain, integrate with your company’s APIs, or create specialized workflows.

If you want to build your own toolserver, I’ve put all the code in the GitHub repository linked in the description. And if you found this helpful, let me know what kind of tools you’d like to see next.

Production Notes #

  • Total runtime target: 8 minutes
  • Key visuals needed: Architecture diagram, code editor, terminal demos
  • B-roll opportunities: Typing, thinking shots, reaction shots
  • Call-to-action: GitHub repo, subscribe, comment with ideas
  • SEO keywords: MCP, Model Context Protocol, Claude, AI tools, custom development