multiplexermcp

Web and local search using Brave's Search API

A Serper MCP Server

Official MCP server for Teamwork.com.

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

MCP server for handling large openapi specs

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

一个基于模型上下文协议（MCP）的中国节假日和农历信息服务器，为AI助手提供准确的法定节假日、调休安排、中国传统节日、农历转换、二十四节气和八字计算功能。西方节日都是固定公历日期，不需要查询工具。 项目地址：https://github.com/Eis4TY/china-festival-mcp

This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP Client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features. The MCP server currently supports the below Cortex AI capabilities: - Cortex Search: Query unstructured data in Snowflake as commonly used in Retrieval Augmented Generation (RAG) applications. - Cortex Analyst: Query structured data in Snowflake via rich semantic modeling. - Cortex Agent: Agentic orchestrator across structured and unstructured data retrieval

This MCP server exposes the Revel Digital REST API as tools that AI assistants can use to manage your digital signage infrastructure. Through natural language commands, you can: Manage devices, content, and playlists Monitor system status and performance Configure schedules and automation Access analytics and reporting data This enables conversational control of your digital signage network, making complex management tasks as simple as describing what you want to accomplish. More information here: https://www.reveldigital.com

Secure file operations with configurable access controls

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Web content fetching and conversion for efficient LLM usage

A comprehensive Model Context Protocol (MCP) server that provides unified access to Deutsche Bahn (DB) and German mobility APIs. Built with Python, FastAPI, and FastMCP for seamless integration with Claude Desktop and other MCP clients.

A Model Context Protocol (MCP) server implementation for Dropbox integration, written in Go. This server allows AI assistants like Claude to interact with Dropbox through a standardized protocol.

AI image generation using various models

Let AI automatically analyze the site. Not limited to site monitoring, competitive product analysis, automatic keyword mining, n8n integration, etc.

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