# Model interaction

The MCP Perplexity Server is a server that provides an API interface for asking questions to the model through the Perplexity API. It supports rapid Docker deployment and local Node.js operation, and multiple parameters can be configured.

ToolChat is a tool for interacting with large language models (LLMs) via MCP servers, supporting the configuration of multiple tool servers and the invocation of specific functions, and can also handle multimodal input such as images and documents.

MCP Tools is a collection of Model Context Protocol servers that provide interfaces to various SaaS tools and services, enabling large language models to interact with external systems and APIs.

The Perses MCP Server is a local model context protocol server used to standardize the interaction between LLM hosts and the Perses application.

MCP4Go is a Model Context Protocol (MCP) library implemented in Go language, aiming to simplify the development of AI applications and provide a complete protocol implementation and high-level abstraction.

A demonstration project of a server and client based on the MCP protocol, used to demonstrate document understanding ability, TypeScript proficiency, and exploration of the MCP protocol

Pro MCP is a community-driven directory of Model Context Protocol (MCP) servers, aiming to provide a comprehensive list of MCP servers for developers and AI enthusiasts and promote the development of intelligent applications.

A model context protocol server implemented in multiple languages, used in conjunction with applications such as Claude and Cursor

This project is a tutorial for building a Model Context Protocol (MCP) server based on Google's Gemini 2.0 model. It includes a complete code implementation, demonstrating how to enable AI models to seamlessly access external tools (such as the Brave Search API) through the MCP standard, and provides an example of a flexible architecture design.