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MCP Server

@P-RajaRamesh

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

P-RajaRamesh

About MCP Server

Projects on MCP server

#mcp-server#shell-server#sentiment-analysis

MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

1

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.

2

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.

3

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.

4

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.

5

Are there any known limitations?

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

Comments

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