MCP Perplexity
Perplexity MCP Server is a Python-based interface service that provides tools for interacting with the Perplexity API, supporting query responses, maintaining chat history, and managing conversations. It configures models through environment variables and stores chat data locally, making it suitable for integration in development environments.
rating : 2.5 points
downloads : 60
What is Perplexity Chat MCP Server?
This is a middleware service that connects to Perplexity AI, allowing developers to interact with Perplexity AI through a standardized interface. It provides conversation management, history recording, and flexible model configuration functions.How to use Perplexity Chat MCP Server?
You can start using it through simple API calls or command-line tools. You need to configure the API key and model parameters, and then you can send queries or start conversations.Use cases
Suitable for development projects that need to integrate AI conversation functions, especially scenarios that need to maintain conversation history, such as technical support robots, research assistants, or programming help tools.Main features
Q&A functionGet professional programming help and technical answers through the ask_perplexity tool. Each query is independent.
Continuous conversationUse the chat_perplexity tool to maintain a continuous conversation with context, suitable for gradually solving complex problems.
Conversation managementYou can list all historical conversations (read_chat_perplexity) or view the details of a specific conversation (list_chats_perplexity).
Web interfaceProvides a visual Web interface for easy viewing and management of conversation history.
Advantages and limitations
Advantages
Flexible model configuration, allowing different models to be specified for different tools
Complete conversation history recording function
Supports streaming responses to avoid timeout issues
Provides both Web interface and API access methods
Limitations
Requires a Perplexity API key
Locally stored conversation history may take up disk space
The Web interface functions are relatively basic
How to use
Installation preparation
Ensure that Python 3.10+ and the uvx package manager are installed
Configure the server
Set environment variables, especially PERPLEXITY_API_KEY
Start the service
Start the MCP server using uvx
Start using
Interact with the server through the API or command-line tools
Usage examples
Programming problem solvingQuickly get solutions to programming problems
Technical research conversationConduct in-depth technical discussions, retaining context
Historical conversation reviewView previous conversation records
Frequently Asked Questions
How to get a Perplexity API key?
Where is the conversation history stored?
How to enable the Web interface?
Which Perplexity models are supported?
Related resources
Perplexity official documentation
Official documentation for the Perplexity API and models
GitHub repository
Project source code and latest updates
uvx installation guide
Installation instructions for the uvx package manager
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