MCP Perplexity Server

MCP Perplexity Server

A lightweight Python-based microservice that provides simple echo functionality, receiving messages and returning them back to the client for diagnostic and testing purposes within the MCP framework.

Category
Visit Server

README

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured