# MCP protocol

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through Chrome extensions and a local Node server, and is compatible with multiple MCP clients.

The NAP MCP Server is an implementation based on the Model Context Protocol (MCP) that provides a standardized way to interact with the NAP API through MCP tools, supporting functions such as project management, workflow creation, and import/export.

An image generation service based on the MCP protocol built on Cloudflare Workers

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It provides a local development guide, a method for connecting with the MCP Inspector, a solution for integrating with the Claude desktop client, and a complete process for deploying to Cloudflare.

nova-act-mcp-server is a zero-install MCP protocol server that provides the Amazon Nova Act browser automation tool.

Flux ImageGen MCP Server is a dedicated server based on the Model Context Protocol (MCP), focusing on providing image generation and processing functions through Pollinations AI. It supports generating image URLs from text prompts, directly generating images, and managing multiple image generation models.

An image - generating MCP server based on the Together AI API

This project demonstrates a disk usage query service based on the MCP protocol, allowing Claude AI to obtain real-time disk information of a Mac system through a local server and present it in a structured and user-friendly manner.

An MCP server implementation based on the Cloudflare Flux 1 Schnell AI model, providing a service interface for text-to-image generation.

The MCP Image Generator is an image generation service based on Together AI or Replicate, supporting access through an SSE endpoint or local running, and providing the function of generating images based on text prompts.

A Python template project for creating a VS Code MCP server, following the best practices of production-level MCP servers, providing infrastructure for configuration management, logging, and tool implementation.

An MCP server implementation based on Selenium WebDriver, providing browser automation functions

A Wikipedia search service based on the MCP protocol, providing a structured interface for AI to access Wikipedia content.

This project is a server based on the MCP protocol, specifically designed to check domain name availability through WHOIS queries and support the integration of domain name checking functionality into tools such as AI assistants.

A server based on the Model Context Protocol that integrates the ntfy push notification service, enabling LLMs and AI agents to send highly customizable notifications to devices.

An MCP server based on the Google Custom Search API, providing a standardized web search interface for large language models

This project provides a Python - based MCP server for integrating OSV (open - source vulnerability) data with AI assistants or large - language models, and exposes tools and resources through the MCP protocol to enhance the workflows and capabilities of LLMs.

The Scenario.com MCP Server project provides API services for text-to-image generation and image background removal.

The CloudGlue MCP service is a bridge connecting AI assistants and video data. It processes video content in a structured way so that it can be understood and used by large language models.

A flexible MCP server based on Probe for making documents or codebases searchable by AI assistants.

OpsNow MCP Cost Server is an MCP protocol server that provides OpsNow cost data for desktop applications such as Claude

This is a Shopify MCP server project that enables interaction between AI agents and Shopify stores through a standardized protocol, providing functions such as API integration, product management tools, and store data access.

A TypeScript-based MCP server that implements a simple note-taking system, providing note resource management, creation tools, and summary generation prompt functions.

An AI agent server based on the Model Context Protocol, providing system prompt and tool management functions

MemCP is an extensible memory MCP server designed for AI programming agents. It is extended based on Zep AI's Graphiti project, supports building, maintaining, and querying temporal knowledge graphs, and provides entity extraction, persistent storage, and support for multiple transport protocols.

Memory Bank is a project knowledge management system based on the MCP protocol that automatically generates structured documents through AI to help teams efficiently manage project knowledge.

A Model Context Protocol (MCP) server implemented for Microsoft OneNote, providing a standardized interface for AI language models to interact with OneNote and supporting management functions for notebooks, sections, and pages.

An MCP server implementation for AdGuard Home, supporting querying and managing DNS records, filtering rules, etc. through an AI agent.

A server implementation based on the Model Context Protocol (MCP), supporting real-time communication through Server-Sent Events (SSE).

The Agentic MCP Client is an independent AI agent runner that interacts with models such as Claude, BedRock, and OpenAI through MCP protocol tools, supporting autonomous cloud operation and secure system interaction.