XMCP Application
Provides integration with YouTube's services, enabling programmatic interaction with YouTube content and features through authenticated API requests.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
xmcp Application
This project was created with create-xmcp-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm devThis will start the MCP server with the selected transport method.
Related MCP server: Mock MCP Server
Project Structure
This project uses the structured approach where tools are automatically discovered from the src/tools directory. Each tool is defined in its own file with the following structure:
import { z } from "zod";
import { type InferSchema } from "xmcp";
// Define the schema for tool parameters
export const schema = {
a: z.number().describe("First number to add"),
b: z.number().describe("Second number to add"),
};
// Define tool metadata
export const metadata = {
name: "add",
description: "Add two numbers together",
annotations: {
title: "Add Two Numbers",
readOnlyHint: true,
destructiveHint: false,
idempotentHint: true,
},
};
// Tool implementation
export default async function add({ a, b }: InferSchema<typeof schema>) {
return {
content: [{ type: "text", text: String(a + b) }],
};
}Adding New Tools
To add a new tool:
Create a new
.tsfile in thesrc/toolsdirectoryExport a
schemaobject defining the tool parameters using ZodExport a
metadataobject with tool informationExport a default function that implements the tool logic
Building for Production
To build your project for production:
npm run build
# or
yarn build
# or
pnpm buildThis will compile your TypeScript code and output it to the dist directory.
Running the Server
You can run the server for the transport built with:
HTTP:
node dist/http.jsSTDIO:
node dist/stdio.js
Given the selected transport method, you will have a custom start script added to the package.json file.
For HTTP:
npm run start-http
# or
yarn start-http
# or
pnpm start-httpFor STDIO:
npm run start-stdio
# or
yarn start-stdio
# or
pnpm start-stdioAuthentication
All requests to the MCP server must include an API key in the x-api-key header. You can set your API key in the .env file using the YOUTUBE_MCP_API_KEY variable.
Example:
YOUTUBE_MCP_API_KEY=your-secret-keyRequests without a valid API key will be rejected with a 401 error and a friendly message.
How to use:
curl -H "x-api-key: your-secret-key" http://localhost:3002/mcpLearn More
This server cannot be deployed
Maintenance
Related MCP Connectors
MCP server for progressive tool usage at any scale (see https://klavis.ai)
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceA server that leverages the XMCP framework to discover and execute tools from the src/tools directory, supporting both SSE and STDIO transport methods for interaction.3,240 npm11MIT
- AlicenseBqualityDmaintenanceA mock MCP server for testing MCP client implementations and development workflows. Supports tools, prompts, and resources across multiple transport protocols (stdio, HTTP, SSE).1MIT
- FlicenseBqualityDmaintenanceA Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.1-
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server built with FastMCP that features dynamic tool loading and modular management via a dedicated tool directory. It supports both stdio and HTTP transport modes, enabling efficient development and deployment of custom MCP tools.-