mcp-server-patterns

To create an MCP server, use the @modelcontextprotocol/sdk to build tool invocation, resource retrieval, and prompt handling capabilities in Node.js and TypeScript. The skill provides scripts and references to set up servers supporting both stdio and HTTP transport for local and remote clients.

The Model Context Protocol enables AI systems to invoke tools, retrieve resources, and handle prompts through a standardized server interface. It allows AI agents to interact with external APIs and data sources via flexible transport mechanisms like stdio and Streamable HTTP.

Yes, the MCP SDK supports both local and remote client connections through stdio and Streamable HTTP transport mechanisms. This flexibility allows developers to deploy servers for direct local integration or expose them over the network for remote AI agent access.

Yes, you can register and manage custom resources and prompts for AI agents using the Node/TypeScript SDK. The skill facilitates optimal AI interactions by providing structured management of these components alongside tool invocation handlers.

The best way to implement tool invocation is by developing an MCP server using the @modelcontextprotocol/sdk, which provides a standardized protocol for AI agents to call external tools, retrieve data, and process prompts efficiently.

Yes, the @modelcontextprotocol/sdk package is required to build an MCP server with this skill. It provides the core framework for establishing server-client communication, registering resources, and handling tool invocation requests from AI systems.