MCP-Server

What is MCP-Server?

A repository containing multiple Model Context Protocol (MCP) server projects. It currently includes a shell command execution server (Shellserver) and a sentiment analysis server (client-server-sentiment), both built using the MCP Python SDK. Aimed at developers who want to integrate system command execution or sentiment analysis into LLM applications like Claude.

How to use MCP-Server?

—

Key features of MCP-Server

• Shellserver provides a terminal tool for executing shell commands.
• Sentiment analysis server exposes a tool via mcp_server.py.
• Both servers are built with the MCP Python SDK.
• Compatible with LLM applications like Claude.
• Includes a custom client example (mcp_client.py) for the sentiment server.

Use cases of MCP-Server

• Running shell commands from within an LLM application like Claude.
• Adding sentiment analysis capabilities to any MCP‑compatible client.
• Prototyping custom MCP servers for system automation.
• Building a client application that consumes MCP sentiment analysis tools.

FAQ from MCP-Server

What does the Shellserver do?

It provides a terminal tool for executing shell commands, enabling LLM applications like Claude to run commands on your system.

How does the sentiment analysis server work?

It exposes a sentiment analysis tool from mcp_server.py that can be consumed by any client application, such as Claude or a custom client like mcp_client.py.

What are the runtime requirements?

Both servers are built with the MCP Python SDK, so Python and the SDK are required. No other dependencies are mentioned in the README.

Where can I find the source code?

The source code is hosted on GitHub under the MCP-Server repository, with separate branches for each project: Shellserver and client-server-sentiment.

Are there any known limitations?

The README does not list any limitations. Each server’s functionality is as described in its branch.