MCP Servers

by lelanhus

AI/Infrastructure AI Model Server Protocol Perplexity AI

This repository contains Model Context Protocol (MCP) server implementations for various AI models. It provides a standardized interface for communicating with AI models.

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What is MCP Servers?

This repository provides Model Context Protocol (MCP) server implementations. Specifically, it includes a TypeScript implementation of an MCP server for Perplexity AI, enabling applications to communicate with Perplexity models through the standardized MCP.

How to use MCP Servers?

Each project within the repository has its own README file with specific setup and usage instructions. Refer to the individual project's README (e.g., perplexity-mcp-server/README.md) for detailed guidance.

Key features of MCP Servers

Standardized interface for AI model communication
Consistent request/response handling
Facilitates switching between models
Supports multiple models in a single application

Use cases of MCP Servers

Integrating Perplexity AI models into applications
Building AI-powered applications with standardized model communication
Developing applications that can easily switch between different AI models
Creating applications that utilize multiple AI models simultaneously

FAQ from MCP Servers

What is MCP?

The Model Context Protocol (MCP) is a standardized interface for communicating with AI models.

Why use MCP?

It provides a consistent way for applications to send requests to and receive responses from different AI models, making it easier to switch between models or use multiple models in the same application.

Where can I find specific usage instructions?

Each project has its own README with specific setup and usage instructions.

Is there a server for other AI models?

This repository currently contains an MCP server for Perplexity AI. More servers may be added in the future.

What license does this project use?

This project is licensed under the MIT license.