MCP TypeScript Tools Server: Model Context Protocol Integration for AI Applications

Overview: What is MCP TypeScript Tools Server?

The MCP TypeScript Tools Server is an implementation written in TypeScript that provides essential utility tools compatible with various AI applications, particularly Claude Desktop and Cursor. This server integrates seamlessly into these AI platforms by offering functionalities such as a calculator tool for mathematical operations, date/time retrieval, and note-taking capabilities. These features enhance the usability and functionality of AI applications, making them more versatile in diverse use cases.

🔧 Core Features & MCP Capabilities

The core strength of the MCP TypeScript Tools Server lies in its ability to bridge AI platforms with external tools through the Model Context Protocol (MCP). This protocol enables seamless integration of additional functionalities into AI applications without requiring changes to their codebase. The key features include:

• Calculator Tool: A versatile tool for performing basic arithmetic operations, allowing users to calculate complex expressions directly within their AI applications.
• DateTime Tool: Provides current date and time in various formats, aiding in the timely scheduling and documentation of events or meetings.
• Note Taking: Users can save and retrieve text notes using predefined commands, enhancing productivity by keeping important information at hand.

MCP Protocol Implementation Details

The MCP protocol allows for efficient communication between AI applications and external tools. By providing a standardized API, it ensures that any tool developed following these guidelines can be easily integrated into existing AI platforms. This server adheres to the MCP architecture, ensuring compatibility across multiple clients while maintaining robustness and security.

⚙️ MCP Architecture & Protocol Implementation

The architecture of this MCP TypeScript Tools Server is built around a modular design, enabling easy extension with new tools in the future. The project structure includes:

• src/tools/: Contains the individual tool implementations.
• src/index.ts: Registers all available tools and interfaces them with the MCP API.

Each tool follows a consistent pattern defined by the @modelcontextprotocol/sdk/server/mcp.js package, ensuring compatibility across different clients that adhere to the MCP protocol. This design allows for straightforward integration of new functionalities without disrupting existing operations.

🚀 Getting Started with Installation

To set up and run this server, follow these steps:

1. Clone Repository and Navigate: Clone the repository from GitHub and navigate into the project directory.
2. Install Dependencies: Run npm install to fetch all required libraries and tools.
3. Build the Project: Use npm run build to compile the TypeScript code into JavaScript.

git clone <your-repo-url>
cd MCP
npm install
npm run build

Setting Up with CLaude for Desktop

To integrate this server with CLaude for Desktop, follow these steps:

1. Locate Configuration File: Find or open the configuration file at %APPDATA%\Claude\claude_desktop_config.json on Windows or ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.
2. Configure MCP Server:

   {
     "mcpServers": {
       "MCPllmContext": {
         "command": "node",
         "args": [
           "ABSOLUTE_PATH_TO_YOUR_PROJECT/dist/index.js"
         ]
       }
     }
   }
   

3. Replace Path Placeholder: Enter the absolute path to your project directory.
4. Restart CLaude for Desktop

Setting Up with Cursor

To integrate this server with Cursor, follow these steps:

1. Open Cursor and navigate to Cursor Settings > Features > MCP.
2. Click on + Add New MCP Server and fill in the form:
   • Type: stdio
   • Name: MCPllmContext
   • Command: node ABSOLUTE_PATH_TO_YOUR_PROJECT/dist/index.js

💡 Key Use Cases in AI Workflows

Scenario 1: Financial Analysis

AI applications, like financial analysis tools, can leverage the calculation tool to perform complex financial modeling. Users input formulas such as "calculate (20% * 5000 + 3% * 7000)", and the server returns accurate results, ensuring precise financial projections.

Scenario 2: Meeting Management

In project management applications, date/time tools help in scheduling meetings efficiently. For instance, users can request the current date or upcoming timeframes to plan team gatherings. The current-date tool provides formatted output based on user preferences.

🔌 Integration with MCP Clients

The MCP TypeScript Tools Server is compatible with several prominent AI clients:

MCP Client	Resources	Tools	Prompts	Status
CLaude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

This compatibility matrix highlights the supported clients and functionalities, ensuring broad adoption across different AI platforms.

📊 Performance & Compatibility Matrix

The performance of the MCP TypeScript Tools Server is optimized for seamless integration with various AI applications. The server leverages efficient data handling and protocol compliance to ensure reliable performance.

Example Code Sample

Below is an example configuration sample demonstrating how to integrate this server into CLaude Desktop:

{
  "mcpServers": {
    "MCPllmContextExample": { // Custom name for the server in MCP
      "command": "node",
      "args": [
        "absolute_path_to_your/dist/index.js"
      ]
    }
  }
}

🛠️ Advanced Configuration & Security

Debugging Tips

When encountering issues, refer to the logs located at %APPDATA%\Claude\logs\mcp*.log (Windows) or ~/Library/Logs/Claude/mcp*.log on macOS. Ensure the path specified in your configuration is correct and absolute.

nodemon dist/index.js  # Use nodemon for hot-reloading during development

Security Considerations

Always secure API keys and other sensitive information within environment variables or secure vaults, not hard-coded into configuration files.

❓ Frequently Asked Questions (FAQ)

1. Q: How do I add a new tool?

   • A: Create a new file in src/tools/, implement the tool using the template provided, and register it in src/index.ts.

2. Q: Why am I seeing an error when trying to start my server?

   • A: Check your configuration files for typos or path issues. Also, ensure all dependencies are installed correctly.

3. Q: Can this server be used with other AI platforms besides CLaude Desktop and Cursor?

   • A: Yes, the server is designed following MCP standards, making it compatible with any platform supporting MCP.

4. Q: Are there limits to the number of tools I can add?

   • A: The number of tools depends on specific client constraints but generally supports multiple tools. Consult the respective AI application's documentation for guidance.

5. Q: How do I troubleshoot compatibility issues between my server and an MCP client?

   • A: Review the integration logs, ensure all paths are absolute and correct, and verify that your MCP implementation adheres to best practices outlined in the MCP protocol documentation.

👨‍💻 Development & Contribution Guidelines

Contributing to this project involves following these steps:

1. Fork Repository: Fork the repository on GitHub.
2. Clone Repo: Clone the forked repository and set up your development environment.
3. Contribute Code: Add new tools or improve existing ones by following the template provided in src/tools/.
4. Run Tests: Ensure that all tests pass after making changes.
5. Submit Pull Request: Push your changes to a branch, and submit a pull request for review.

🌐 MCP Ecosystem & Resources

For more information on Model Context Protocol and its ecosystem of tools, refer to the official documentation.

Mermaid Diagrams

MCP Protocol Flow

graph TD
    A[AI Application] -->|MCP Client| B[MCP Server]
    B --> C[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5

Data Architecture

graph TD
    A[User Input] --> B[MCP Client]
    B --> C[MCP Server]
    C --> D[External Tools/Data Source]
    D --> E[Output/User Request Fulfillment]

This comprehensive technical documentation highlights the MCP TypeScript Tools Server's capabilities, integration methods, and practical use cases, positioning it as a critical component for developers building AI applications that require enhanced functionality through MCP.