Boilerplate MCP Server
A basic project for developing custom MCP servers, providing a complete architectural pattern, example tools, and development infrastructure to support AI assistants in connecting to external data sources or APIs.
rating : 2.5 points
downloads : 34
What is an MCP server?
Model Context Protocol (MCP) is an open standard that allows AI systems to securely connect to external tools and data sources in context. This basic framework for an MCP server can help developers quickly build custom MCP servers.How to use an MCP server?
Through a simple command-line interface or API calls, AI assistants can access various data sources and tools connected through the MCP server. Developers can add custom features based on this framework.Applicable scenarios
Suitable for scenarios where AI systems need to be integrated with enterprise data, API services, or domain-specific knowledge bases, such as customer service automation and data analysis assistants.Main features
Production-ready architectureDesigned with a layered architecture, clearly separating the CLI, tools, controllers, and service layers to ensure code maintainability.
Type safetyBuilt on TypeScript, providing a better development experience and code quality.
Complete example toolIncludes a complete implementation of an IP query tool, demonstrating the complete pattern from CLI to API integration.
Testing frameworkBuilt-in infrastructure for unit tests and CLI integration tests, including coverage reports.
Advantages and limitations
Advantages
Rapid development: Provides a complete infrastructure, allowing developers to focus on business logic.
Standardization: Follows the MCP specification, ensuring compatibility with AI systems.
Scalability: Easy to add new tools and data source connections.
Limitations
Requires a Node.js environment and is not suitable for pure front-end projects.
Has a certain learning curve for developers unfamiliar with TypeScript.
Currently has few example tools and needs to be extended by oneself.
How to use
Installation preparation
Ensure that Node.js (>=18.x) and Git are installed.
Clone and install
Clone the repository and install dependencies.
Start the development server
Start the MCP server with hot reloading.
Test the example tool
Test the IP query function through the CLI.
Usage examples
IP address queryAI assistants can query detailed information about any IP address through the MCP server.
Custom data queryDevelopers can extend the server to add custom data query functions.
Frequently Asked Questions
What running environment does the MCP server require?
How to add new tools to the MCP server?
How to debug MCP tools?
Related resources
Node.js official website
Official Node.js downloads and documentation
MCP specification documentation
Official specification of the Model Context Protocol
GitHub repository
Project source code
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