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.

Related MCP server: Express MCP Server Echo

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

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. 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

Apache License 2.0