Easily create and customize MCP servers with our TypeScript scaffolding tool for efficient development
create-typescript-server is a command-line tool that helps in quickly setting up new servers based on the Model Context Protocol (MCP). The MCP protocol is a universal adapter designed to facilitate connections between AI applications and specific data sources or tools through a standardized interface, similar to how USB-C enables various devices to communicate with diverse peripherals.
The create-typescript-server tool simplifies the process of building servers that can be readily integrated into the larger MCP ecosystem. Key features include:
The core architecture of the server leverages the Model Context Protocol to enable seamless connections between AI applications and data sources. The protocol operates through a series of standardized commands and responses, facilitating efficient communication channels. Below is an overview of how data flows through the protocol:
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 start building a new MCP server:
npx @modelcontextprotocol/create-server my-server
npx @modelcontextprotocol/create-server my-server --name "My MCP Server" --description "A custom MCP server"
Following initialization, proceed with the following steps:
cd my-server
npm install
npm run build
npm run watch
To make your server globally accessible, you can link it:
npm link
MCP servers enhance AI application workflows by providing real-time data access and tool integration. Here are two practical use cases:
An MVP solution utilizes MCP to connect a financial analytics dashboard with live market data feeds, allowing for immediate risk assessment and investment analysis.
A customer service chatbot leverages an MCP server to fetch real-time product information from multiple databases, ensuring accurate responses in real-time interactions.
The create-typescript-server tool supports compatibility with some of the leading MCP clients. The following table outlines current support:
| MCP Client | Resources | Tools | Prompts | Status |
|---|---|---|---|---|
| Claude Desktop | ✔️ | ✔️ | ✔️ | Full Support |
| Continue | ✔️ | ✔️ | ❌ | Full Support |
| Cursor | ❌ (under development) | ✔️ | ❌ | Tools Only |
While the tool is designed for broad compatibility, it is essential to ensure that your server configuration aligns with MCP protocol standards. Below is a performance and compatibility matrix:
| Feature | Status |
|---|---|
| Real-time Data Sync | ✔️ |
| API Key Authentication | ✔️ |
| Custom Protocol Config | ❌ (coming soon) |
| Webhook Support | ✖️ |
To customize your MCP server further, modify the mcpServers configuration within your project. Below is a sample configuration:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
create-typescript-server tool?
Contributions to improve create-typescript-server are welcome! Below are guidelines:
Stay engaged with the growing MCP ecosystem by joining community forums, attending webinars, or contributing to open-source projects. Explore resources to deepen your understanding of MCP and its applications in AI development:
By leveraging create-typescript-server, developers can build robust MCP servers that enhance the capabilities of AI applications across various domains.
This comprehensive guide provides extensive coverage, ensuring developers are well-equipped to integrate and utilize this powerful tool in their projects.
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