Skip to main content
Glama

MCP Server Scaffold

by vjouenne76

MCP Server Scaffold

A basic scaffolding project for building Model Context Protocol (MCP) servers.

What is MCP?

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). MCP enables secure, controlled interactions between AI systems and various data sources and tools.

Features

This scaffold provides:

  • ✅ Basic MCP server implementation
  • ✅ Sample tools (echo, get_current_time)
  • ✅ TypeScript support with proper types
  • ✅ Error handling and logging
  • ✅ Standard MCP protocol compliance
  • ✅ Development and build scripts

Setup

  1. Install dependencies:
    npm install
  2. Build the project:
    npm run build
  3. Start the server:
    npm start

Development

For development with auto-rebuild and restart:

npm run dev

Available Tools

echo

Echoes back the provided message.

Parameters:

  • message (string, required): The message to echo back

get_current_time

Returns the current date and time in ISO format.

Parameters: None

Project Structure

mcp-server-scaffold/ ├── src/ │ └── index.ts # Main server implementation ├── dist/ # Compiled JavaScript (generated) ├── package.json # Project configuration ├── tsconfig.json # TypeScript configuration └── README.md # This file

Extending the Server

To add new tools:

  1. Add the tool definition in the ListToolsRequestSchema handler
  2. Add the tool implementation in the CallToolRequestSchema handler
  3. Rebuild and test

Example tool addition:

// In ListToolsRequestSchema handler { name: 'my_new_tool', description: 'Description of what the tool does', inputSchema: { type: 'object', properties: { param1: { type: 'string', description: 'Description of parameter', }, }, required: ['param1'], }, } // In CallToolRequestSchema handler case 'my_new_tool': // Your tool implementation here return { content: [ { type: 'text', text: `Result: ${args.param1}`, }, ], };

Integration with Q CLI

To use this MCP server with Amazon Q CLI:

  1. Build and ensure the server runs correctly
  2. Configure the server in your Q CLI MCP settings
  3. The tools will be available as mcp-server-scaffold___tool-name

Error Handling

The server includes comprehensive error handling:

  • Tool execution errors are caught and returned as error responses
  • Server errors are logged to stderr
  • Graceful shutdown on SIGINT

License

MIT License - feel free to use this scaffold as a starting point for your own MCP servers.

Install Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

A basic starter project for building Model Context Protocol (MCP) servers that enables standardized interactions between AI systems and various data sources through secure, controlled tool implementations.

  1. What is MCP?
    1. Features
      1. Setup
        1. Development
          1. Available Tools
            1. echo
            2. get_current_time
          2. Project Structure
            1. Extending the Server
              1. Integration with Q CLI
                1. Error Handling
                  1. License

                    Related MCP Servers

                    • -
                      security
                      F
                      license
                      -
                      quality
                      A Model Context Protocol server implementation that enables connection between OpenAI APIs and MCP clients for coding assistance with features like CLI interaction, web API integration, and tool-based architecture.
                      Last updated -
                      33
                      Python
                      • Linux
                      • Apple
                    • -
                      security
                      F
                      license
                      -
                      quality
                      Implements the Model Context Protocol (MCP) to provide AI models with a standardized interface for connecting to external data sources and tools like file systems, databases, or APIs.
                      Last updated -
                      123
                      Python
                      • Apple
                      • Linux
                    • -
                      security
                      A
                      license
                      -
                      quality
                      A template repository for building Model Context Protocol (MCP) servers that enables developers to create interactive AI agents with real-time bidirectional communication capabilities through WebSocket and SSE endpoints.
                      Last updated -
                      TypeScript
                      MIT License
                    • -
                      security
                      A
                      license
                      -
                      quality
                      A Model Context Protocol (MCP) server that implements AI-First Development framework principles, allowing LLMs to interact with context-first documentation tools and workflows for preserving knowledge and intent alongside code.
                      Last updated -
                      332
                      Python
                      AGPL 3.0

                    View all related MCP servers

                    MCP directory API

                    We provide all the information about MCP servers via our MCP API.

                    curl -X GET 'https://glama.ai/api/mcp/v1/servers/vjouenne76/mcp-server-scaffold'

                    If you have feedback or need assistance with the MCP directory API, please join our Discord server