About
A lightweight, easy‑to‑deploy Model Context Protocol server designed for the Cursor IDE. It supports SSE and stdio transports, Docker or local execution, enabling developers to quickly prototype AI tools with minimal setup.
Capabilities
Overview
The MCP Template is a minimal, ready‑to‑fork foundation for building Model Control Protocol (MCP) servers that run on macOS or as command‑line utilities. It demonstrates how to wire the official into a Swift package with only the essential plumbing, making it straightforward for developers to understand and extend MCP integration without wading through boilerplate.
At its core, the template supplies a lightweight library called EasyMCP that encapsulates an MCP server instance. Developers can register tools, prompts, or resources by providing simple JSON‑compatible schemas and asynchronous Swift closures. Once registered, the server can be started with and will listen for incoming MCP messages over standard input/output or via a future SSE server. This design keeps the focus on the protocol logic rather than on transport details, allowing teams to plug the server into any host environment—be it a desktop app, a background daemon, or an embedded toolchain.
Key capabilities highlighted in the template include:
- Tool registration: Define a name, description, and JSON schema for input, then supply an async handler that returns results in the MCP format.
- Command‑line interaction: A small executable () demonstrates both a “hello world” invocation and the ability to launch the full MCP server with .
- SSE support (planned): Future iterations will expose an SSE endpoint, enabling web‑based or distributed clients to subscribe to MCP events.
- Testing scaffold: Built‑in unit tests illustrate how to validate tool logic and server behavior, encouraging reliable development practices.
Real‑world scenarios where this template shines include:
- macOS utilities that expose custom actions (e.g., file transformations, system queries) to AI assistants without exposing a full web API.
- CI/CD pipelines that run MCP servers as part of build steps, allowing AI agents to trigger jobs or report status.
- Educational projects where students learn about protocol design by extending the minimal server with new tools or custom transports.
By starting from this template, developers can quickly prototype MCP‑enabled features, integrate them into existing Swift projects, and iterate on more sophisticated capabilities—such as secure transport layers or advanced resource management—while keeping the core protocol logic clear and maintainable.
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