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MCP Servers

MCP Servers

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github.com/lelanhusAI & Agents0Updated 87w ago
Repository

About MCP Servers

This repository collects MCP server implementations for AI models. Its described project is a TypeScript Perplexity MCP Server for applications that need standardized communication with Perplexity models.

Key features

  1. 01MCP servers for AI models
  2. 02TypeScript Perplexity server

Use cases

  1. 01Connect applications to Perplexity models through MCP
  2. 02Use a standard interface to communicate with AI models

MCP support

The repository contains MCP server implementations; its Perplexity MCP Server lets applications communicate with Perplexity models through MCP.

#mcp-servers#ai-models#protocols

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Servers

This repository contains Model Context Protocol (MCP) server implementations for various AI models.

Projects

Perplexity MCP Server

A TypeScript implementation of an MCP server for Perplexity AI. This server allows applications to communicate with Perplexity models through the standardized Model Context Protocol.

Getting Started

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

What is MCP?

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

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.