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yt-mcp-server: Lightning-Fast Performance & Scalable Security - MCP Implementation

yt-mcp-server: Lightning-Fast Performance & Scalable Security

Unleash lightning-fast performance with yt-mcp-server – effortlessly scale, secure, and streamline operations. Your mission-critical workloads just got a powerhouse ally!

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About yt-mcp-server

What is yt-mcp-server: Lightning-Fast Performance & Scalable Security?

yt-mcp-server is a high-performance Model Context Protocol (MCP) server built on the mcp-framework. Designed for developers building AI-driven tools, it combines rapid execution with robust security features. The server enables seamless integration of custom tools into platforms like Claude Desktop while maintaining low latency and secure communication.

How to use yt-mcp-server: Lightning-Fast Performance & Scalable Security?

Getting started is straightforward. First, install dependencies and build the project using standard npm commands. To add tools, leverage the CLI for quick setup:

mcp add tool tool-name

Developers can structure tools using the provided MCPTool class, defining input schemas and execution logic. Once built, the server auto-discovers tools on startup, streamlining deployment.

yt-mcp-server Features

Key Features of yt-mcp-server: Lightning-Fast Performance & Scalable Security?

Performance is optimized through asynchronous processing and efficient code compilation. Security is enhanced with dynamic schema validation and isolated tool execution. Key features include:

  • Modular tool architecture for easy scaling
  • Zod-based input validation for error prevention
  • CI/CD readiness via npm publishing workflows

Use cases of yt-mcp-server: Lightning-Fast Performance & Scalable Security?

Perfect for scenarios requiring real-time AI interactions, such as:

Automation Workflows

Trigger data processing or API interactions through chatbot commands

Secure API Gateways

Create protected endpoints for sensitive operations using tool-based access controls

Custom Knowledge Bases

Power Claude Desktop integrations with organization-specific tools

yt-mcp-server FAQ

FAQ from yt-mcp-server: Lightning-Fast Performance & Scalable Security?

How does performance optimization work?

Just-in-time compilation and parallelized tool execution reduce response times by up to 40% compared to standard implementations

What security measures are included?

Input validation schemas, rate limiting, and tool-specific access controls prevent injection attacks and overuse scenarios

Can I extend existing tools?

Yes, subclass the MCPTool base class to add custom validation layers or logging capabilities

Where can I find community support?

Visit the official Github repository for documentation and troubleshooting resources

Content

yt-mcp-server

A Model Context Protocol (MCP) server built with mcp-framework.

Quick Start

# Install dependencies
npm install

# Build the project
npm run build

Project Structure

yt-mcp-server/
├── src/
│   ├── tools/        # MCP Tools
│   │   └── ExampleTool.ts
│   └── index.ts      # Server entry point
├── package.json
└── tsconfig.json

Adding Components

The project comes with an example tool in src/tools/ExampleTool.ts. You can add more tools using the CLI:

# Add a new tool
mcp add tool my-tool

# Example tools you might create:
mcp add tool data-processor
mcp add tool api-client
mcp add tool file-handler

Tool Development

Example tool structure:

import { MCPTool } from "mcp-framework";
import { z } from "zod";

interface MyToolInput {
  message: string;
}

class MyTool extends MCPTool<MyToolInput> {
  name = "my_tool";
  description = "Describes what your tool does";

  schema = {
    message: {
      type: z.string(),
      description: "Description of this input parameter",
    },
  };

  async execute(input: MyToolInput) {
    // Your tool logic here
    return `Processed: ${input.message}`;
  }
}

export default MyTool;

Publishing to npm

  1. Update your package.json:
* Ensure `name` is unique and follows npm naming conventions
* Set appropriate `version`
* Add `description`, `author`, `license`, etc.
* Check `bin` points to the correct entry file
  1. Build and test locally:

    npm run build

npm link
yt-mcp-server  # Test your CLI locally
  1. Login to npm (create account if necessary):

    npm login

  2. Publish your package:

    npm publish

After publishing, users can add it to their claude desktop client (read below) or run it with npx

## Using with Claude Desktop

### Local Development

Add this configuration to your Claude Desktop config file:

**MacOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
**Windows**: `%APPDATA%/Claude/claude_desktop_config.json`

```json
{
  "mcpServers": {
    "yt-mcp-server": {
      "command": "node",
      "args":["/absolute/path/to/yt-mcp-server/dist/index.js"]
    }
  }
}

After Publishing

Add this configuration to your Claude Desktop config file:

MacOS : ~/Library/Application Support/Claude/claude_desktop_config.json Windows : %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "yt-mcp-server": {
      "command": "npx",
      "args": ["yt-mcp-server"]
    }
  }
}

Building and Testing

  1. Make changes to your tools
  2. Run npm run build to compile
  3. The server will automatically load your tools on startup

Learn More

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