MCP Demo Server

Overview

The mcp-demo server is a minimal yet fully‑functional implementation of the Model Context Protocol (MCP). Its primary purpose is to illustrate how an MCP server can expose a simple “Hello, world!” capability to an AI assistant such as Claude. By running this server locally or in a cloud environment, developers can quickly verify that their AI client is correctly negotiating with an MCP endpoint, retrieving tool definitions, and executing commands in a controlled setting.

The server listens for incoming MCP requests over HTTP and responds with a single tool that, when invoked, returns the static message “Hello world”. This straightforward example demonstrates the core workflow: a client discovers available tools via the endpoint, selects one, and sends an invocation payload. The server processes the request and streams back a response that the AI assistant can incorporate into its output or use as a building block for more complex interactions.

Key features of the demo include:

• Tool registration – The server advertises its capabilities in a JSON schema that follows MCP standards, enabling automatic discovery by compliant clients.
• Invocation handling – Incoming calls are validated against the declared schema, ensuring that only supported parameters are processed.
• Response streaming – Even though the payload is trivial, the server demonstrates how responses can be streamed back to the client in real time.
• Extensibility hooks – The codebase is structured so that additional tools or resources can be added with minimal friction, making it a solid starting point for larger MCP deployments.

Typical use cases for this demo server are:

• Integration testing – Developers can confirm that their AI assistant correctly parses MCP tool definitions and executes calls before adding more sophisticated logic.
• Educational purposes – The clear, single‑tool example serves as a teaching aid for new teams learning how MCP works.
• Rapid prototyping – By cloning the repository and extending the tool list, teams can quickly prototype custom AI‑enabled workflows without building a full backend from scratch.

In summary, mcp-demo provides a lightweight, zero‑configuration platform that showcases the essential mechanics of MCP. It validates client-server interactions, offers a clear template for tool creation, and demonstrates how AI assistants can be extended with external capabilities in a secure, standards‑compliant manner.