Node.js TypeScript MCP server with setup, endpoints, testing tools, and integration guidance
MyFirstMCPServer is an implementation of the Model Context Protocol (MCP) designed in Node.js with TypeScript, serving as a standardized interface for various AI applications such as Claude Desktop, Continue, Cursor, and more. MCP acts as a universal adapter by enabling these sophisticated AI tools to connect to specific data sources or tools through predefined API endpoints and data formats.
MCP is not just another protocol; it’s a framework that simplifies communication between AI applications and the underlying infrastructure they need to operate. MyFirstMCPServer supports key MCP capabilities such as seamless real-time data exchange, versioning, and security measures. By leveraging these features, developers can build robust applications that integrate smoothly with various AI tools.
Real-time data exchange is crucial for modern AI workflows. MyFirstMCPServer ensures that data flows seamlessly between the AI application and external resources like databases or APIs without any loss of integrity.
With support for versioning, MyFirstMCPServer allows developers to implement changes in a controlled manner, ensuring backward compatibility with existing implementations while enabling continuous development and improvement. This feature is vital for maintaining stability across different stages of AI application deployment.
Security is at the core of MCP implementation. MyFirstMCPServer includes multiple security measures such as authentication tokens, encryption, and role-based access control (RBAC) to safeguard sensitive data and prevent unauthorized access to resources.
The architecture of MyFirstMCPServer revolves around a well-defined protocol that ensures compatibility and ease of integration. The server is built using the Express framework for handling HTTP requests, coupled with TypeScript typing for clean, maintainable code.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
This diagram illustrates the flow of communication between an AI application, MCP client, protocol layer, and ultimately, data sources or tools.
graph TD
A[Data Source] --> B[MCP Server]
B --> C[AI Application]
style A fill:#e8f5e8
style B fill:#f3e5f5
style C fill:#e1f5fe
This diagram represents the data architecture, showing how data is passed between the source, the MCP server, and the AI application.
To get started with MyFirstMCPServer, follow these steps:
Run the following command to install all necessary dependencies:
npm install
Compile the project using the command:
npm run build
Start the server by running:
npm start
The server will be available at http://localhost:3000/
.
MyFirstMCPServer is designed to fulfill various use cases across different AI workflows, enhancing user productivity and efficiency. Here are two real-world scenarios demonstrating the practical application of this implementation:
Imagine a data scientist using Continue to analyze customer feedback. Through MyFirstMCPServer, Continue can interact with a MongoDB database in real-time to fetch and process customer reviews. This integration ensures that the analysis is both accurate and timely.
A marketing professional uses Claude Desktop for automated content generation. MyFirstMCPServer facilitates this by allowing Claude to request data from various sources, such as an API or a database, which then processes and generates content based on predefined templates and prompts.
MyFirstMCPServer supports several popular AI applications through its well-defined protocol. The compatibility matrix below highlights the support status for each client:
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue | ✅ | ✅ | ✅ |
Cursor | ❌ | ✅ | ❌ |
Note: The ‘tools’ column indicates that these clients can use MyFirstMCPServer for their tool requirements, whereas the ‘prompts’ field points to any missing support areas.
MyFirstMCPServer is optimized for performance and compatibility with a wide range of platforms. Below is a performance matrix outlining its key features:
Feature | Status |
---|---|
Real-Time Data Flow | ✅ |
Versioning Support | ✅ |
Security Measures | ✅ |
For advanced users, the configuration file provides detailed settings to fine-tune the server’s behavior. Here is a sample MCP client configuration snippet:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Q: Can MyFirstMCPServer support more MCP clients?
A: Yes, we are continuously working on expanding the compatibility matrix to include additional MCP clients.
Q: Does MyFirstMCPServer handle SSL/TLS encryption?
A: Our server supports SSL/TLS for secure communication over HTTP connections.
Q: How can I troubleshoot issues with MyFirstMCPServer?
A: Check the logs located in log/
directory and ensure that all environment variables are correctly set.
Q: Is there a way to automate server startup?
A: Yes, you can use tools like PM2 for automatic restarts and monitoring of the server process.
Q: How do I update MyFirstMCPServer with new protocol versions?
A: Follow our upgrade guide in UPGRADE.md
for detailed instructions on updating to newer MCP protocol versions.
Development contributions are welcome, and every contribution helps make MyFirstMCPServer better. Here’s how you can get started:
Install Dependencies
npm install
Contribute Code
Run the Tests Ensure that all existing tests pass:
npm test
Send a Pull Request
Follow our guidelines in CONTRIBUTING.md
to prepare a pull request.
For more information, explore this extensive ecosystem and resources:
By leveraging MyFirstMCPServer, developers can create versatile and robust AI applications that integrate seamlessly with various tools and resources via a standardized protocol.
Note: This documentation was created to align with the provided README content and has been tailored for MCP server capabilities.
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