Node.js MCP server generates random US State and soup combinations with JSON-RPC compliance
Super Secret MCP Server is an advanced Model Context Protocol (MCP) implementation designed to provide a versatile and reliable tool for integrating AI applications with specific data sources and tools through standardized protocols. Unlike traditional integration methods, MCP servers like this one enable seamless communication between AI platforms such as Claude Desktop, Continue, Cursor, and others, thereby enhancing their functionality significantly.
Super Secret MCP Server boasts a robust set of features aligned with the MCP protocol to ensure compatibility and seamless interaction with various AI applications. Key capabilities include:
These features collectively ensure a high level of reliability and flexibility, making Super Secret MCP Server an indispensable tool in modern AI development and integration.
The architecture of Super Secret MCP Server is meticulously crafted to adhere strictly to the Model Context Protocol (MCP). This includes detailed implementation steps such as:
The protocol flow and data architecture are illustrated in the following diagrams using Mermaid syntax:
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
To get started with Super Secret MCP Server, follow these easy steps:
Clone the repository:
git clone [email protected]:gbti-network/mcp-basic-test.git
cd mcp-basic-test
Install dependencies:
npm install
Start the server with MCP Inspector:
npx @modelcontextprotocol/inspector -- node index.js
When started, the server will be available for connections via STDIO.
Imagine an AI assistant that needs to generate secure access passphrases for various users based on a combination of US states and corresponding soups. Super Secret MCP Server can be seamlessly integrated into such a system by defining the getSecretPassphrase
tool, which returns combinations like "New England Clam Chowder" or "Texas Chili".
Another practical application involves customizing responses for an intelligent chatbot. When users ask variations of "What is the secret passcode?", the bot can use Super Secret MCP Server to generate and return a random US state + soup combination, providing engaging and dynamic interactions.
Super Secret MCP Server supports seamless integration with various MCP clients listed below, ensuring compatibility and enhanced functionality across different AI platforms:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
This compatibility matrix highlights the extensive support for MCP clients, making Super Secret MCP Server a priority choice for developers and organizations aiming to integrate diverse AI applications.
To ensure optimal performance and wide compatibility, Super Secret MCP Server is rigorously tested against various MCP clients. The following matrix summarizes its key functionalities:
Feature | Claude Desktop | Continue | Cursor |
---|---|---|---|
Tool Execution | ✅ | ✅ | ❌ |
Custom Logging | ✅ | ✅ | ❌ |
JSON-RPC Compliance | ✅ | ✅ | ❌ |
This performance matrix indicates that Super Secret MCP Server excels in tool execution, custom logging, and JSON-RPC compliance, making it a robust solution for AI applications.
To configure the server in Cascade, follow these steps:
Define your server name:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "node", "<path-to-project>/index.js"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Place the config file at:
%USERPROFILE%\.codeium\windsurf\mcp_config.json
$HOME/.codeium/windsurf/mcp_config.json
This configuration ensures that your server is securely configured and ready for deployment.
To test the tool execution, start the server with MCP Inspector:
npx @modelcontextprotocol/inspector -- node index.js
Verify that the getSecretPassphrase
tool is registered and functional.
Super Secret MCP Server is designed to handle moderate loads, but for high-traffic applications, consider scaling the server or using a more powerful hosting solution.
The custom logging system supports multiple levels (DEBUG, INFO, WARN, ERROR). You can customize it according to your needs by modifying utils/logger.js
.
While primary support is for Claude Desktop and Continue, additional MCP clients may be supported through custom configuration or further development.
tools.set
method?You can define any tool that fits your application requirements by using the tools.set
method in index.js
. Ensure it includes a name, description, input schema, and handler function.
By following these steps, you can contribute valuable features and improvements to Super Secret MCP Server.
Stay connected with the latest updates and community discussions by following us on various platforms:
Join our community and contribute to the growing MCP ecosystem!
This comprehensive documentation positions Super Secret MCP Server as a robust, flexible, and valuable tool for integrating AI applications with diverse data sources and tools. Whether you're an experienced developer or just starting out, this guide covers all the essential aspects of using and contributing to the project.
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