Simple MCP Feature Sample – Overview

The Simple MCP Feature Sample is a lightweight, educational MCP server that demonstrates how an AI assistant can expose basic text‑processing tools and data‑retrieval capabilities to external clients. It solves the problem of onboarding developers who want to experiment with MCP without needing a full‑blown production server. By providing ready‑made scripts and clear instructions, it lowers the barrier to entry for integrating Claude or other AI assistants with custom tooling.

At its core, the server implements two distinct services. The first exposes two simple text‑manipulation tools—reverse-text and uppercase. When an AI assistant receives a prompt containing phrases such as “reverse text” or “upper text,” it automatically calls these tools, allowing the assistant to transform user input on the fly. The second service demonstrates the data MCP feature by offering a profile-data tool that can answer questions like “Who am I?” using pre‑defined data. This illustrates how MCP servers can provide contextual knowledge beyond plain text manipulation.

Key capabilities of the sample server include:

• Tool registration: The server advertises available tools to clients, enabling the AI assistant to invoke them dynamically.
• Data MCP support: By exposing a data source, the server shows how an assistant can retrieve structured information in response to user queries.
• Multi‑client handling: A separate demo script launches multiple clients simultaneously, proving that the server can manage concurrent connections without conflict.
• Command‑line integration: The server is launched via simple shell scripts, making it easy to test locally and integrate into existing workflows.

Real‑world use cases for this sample server are plentiful. Developers can quickly prototype new tools—such as unit conversion, sentiment analysis, or database lookups—and expose them to an AI assistant. It also serves as a sandbox for testing MCP client libraries, debugging tool invocation flows, or building custom AI‑powered interfaces that rely on external data sources. Because the server is written in plain Python and relies only on standard libraries, it can run on any machine that supports MCP clients, from a local workstation to a cloud VM.

Integrating the Simple MCP Feature Sample into an AI workflow is straightforward: add the server’s command configuration to your assistant’s settings, start the server using one of the provided launch scripts, and begin sending queries that trigger the exposed tools. The assistant will automatically discover the server’s capabilities, invoke the appropriate tool, and return the transformed or retrieved data to the user—all without manual configuration. This tight coupling between AI assistants and external tools exemplifies MCP’s promise of seamless, modular extensions to conversational agents.