MCP Add Sse

What is mcp-add-sse

mcp-add-sse is a Model Context Protocol (MCP) server developed by QuantGeekDev, designed to facilitate secure and seamless communication between AI systems and various data sources. Built using the mcp-framework, this server acts as a bridge, allowing AI assistants like Claude to access real-time data, tools, and prompts from external sources such as files, databases, and APIs. By adhering to the open-source MCP standards, mcp-add-sse provides a universal interface for AI systems to interact with external environments efficiently and securely.

How to Use mcp-add-sse

To get started with mcp-add-sse, follow these steps:

1. Install Dependencies: Begin by installing the necessary dependencies for the server using npm:

   npm install
   

2. Build the Project: Once the dependencies are in place, compile the project with:

   npm run build
   

3. Add Tools: You can expand the server's functionality by adding tools. The project includes a command-line interface (CLI) for this purpose:

   mcp add tool my-tool
   

   Replace my-tool with the name of the tool you wish to create. Examples include data-processor, api-client, or file-handler.

4. Develop Tools: Tools follow a specific structure. Within src/tools/, create your tool by defining inputs and implementing the desired logic. The provided example demonstrates how to build a tool using TypeScript and the MCP framework.

5. Publish to npm: To share your server with others, publish it to npm. Update your package.json with necessary details, build and test your project locally, and then use npm publish to make it available.

6. Integrate with Claude Desktop: Configure your Claude Desktop to recognize and run the server, ensuring it taps into the mcp-add-sse's capabilities.

Key Features of mcp-add-sse

• Universal Connectivity: Enables AI assistants to connect securely with a wide range of data sources, offering real-time access to information.
• Extensible Tooling: Provides a robust framework for adding custom tools, making the server highly adaptable to various use cases.
• CLI Support: Facilitates easy addition of new tools and components through a command-line interface, simplifying development and integration.
• Open-Source Protocol: Built on the MCP framework, ensuring compliance with open standards for AI data interaction.
• Secure Data Access: Implements security protocols to safeguard data as it flows between AI clients and external sources.
• Flexible Development: Supports tool development in TypeScript, allowing for robust and type-safe code creation.
• Easy Deployment: After local development and testing, tools can be published to npm, enabling widespread usage and collaboration.

mcp-add-sse empowers developers and AI practitioners to enhance the capabilities of AI systems by providing a secure, flexible, and comprehensive platform for data interaction and tool integration. Whether you are building new AI tools or seeking to connect existing systems, mcp-add-sse offers the infrastructure needed for success.