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by chrishayuk

MCP Perplexity Server

Overview

The MCP Perplexity Server is a lightweight Python-based microservice designed to provide simple echo functionality. It receives messages and returns them back to the client, serving as a basic diagnostic and testing tool within the MCP framework.

Project Details

  • Version: 0.1.0

  • Python Compatibility: Python 3.11+

Features

  • Message Echo: Returns any message sent to the server

  • Comprehensive Validation: Robust input validation using Pydantic models

  • Async Server Architecture: Built with asyncio for efficient performance

  • Flexible Configuration: Configurable through environment variables and config files

Dependencies

Core dependencies:

  • mcp (>=1.6.0)

  • pydantic (>=2.11.2)

  • PyYAML (>=6.0.2)

Development dependencies:

  • pytest (>=8.3.5)

Installation

Prerequisites

  • Python 3.11 or higher

  • pip

  • (Optional) Virtual environment recommended

Install from PyPI

pip install chuk-mcp-perplexity

Install from Source

  1. Clone the repository:

git clone <repository-url> cd chuk-mcp-perplexity
  1. Create a virtual environment:

python -m venv venv source venv/bin/activate # On Windows, use `venv\Scripts\activate`
  1. Install the package:

pip install . # Installs the package in editable mode

Development Installation

To set up for development:

pip install .[dev] # Installs package with development dependencies

Running the Server

Command-Line Interface

chuk-mcp-perplexity

Programmatic Usage

from chuk_mcp_perplexity.main import main if __name__ == "__main__": main()

Environment Variables

  • NO_BOOTSTRAP: Set to disable component bootstrapping

  • Other configuration options can be set in the configuration files

Available Tools

Echo

Input:

  • message: The string message to echo back

Example:

echo("Hello, world!")

Returns:

  • The original message in an EchoResult object

Development

Code Formatting

  • Black is used for code formatting

  • isort is used for import sorting

  • Line length is set to 88 characters

Running Tests

pytest

Contributing

  1. Fork the repository

  2. Create your feature branch (git checkout -b feature/AmazingFeature)

  3. Ensure code passes formatting and testing

  4. Commit your changes (git commit -m 'Add some AmazingFeature')

  5. Push to the branch (git push origin feature/AmazingFeature)

  6. Open a Pull Request

License

MIT License

Deploy Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

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