Closes the find-download-install loop for lutris-mcp by searching Prowlarr, downloading via qBittorrent, polling until complete, classifying the result, and returning a path for installation.
On-demand live vision MCP for AI agents — open a session at a lat/lng, receive a JPEG snapshot or WebRTC stream, settled per-second in USDC on Base. Four tools (get_session, get_frame, get_stream_url, cancel_session); currently Base Sepolia testnet.
This MCP server connects AI coding assistants like Claude, Cursor, Windsurf, and Cline directly to Lynx MI — a market intelligence platform that tracks SEC insider trades, congressional stock transactions, lobbying activity, and more. Once connected, you can ask your AI assistant questions like: "What insider trades happened at NVDA this week?" "Show me the top insiders by performance ov
全面解析MCP Server SpringaidemoMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,MCP Server Springaidemo能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
MCP server for Maasy AI Marketing Copilot
全面解析Maccy Clipboard MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Maccy Clipboard MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Enables AI agents to autonomously request services from other specialized agents and compensate them via x402 micropayments. Demonstrates a Machine-to-Machine economy using A2A protocol for agent communication, MCP for context management, and blockchain-based payments on Base network.
MCP server that gives AI agents the ability to discover, match with, and build relationships with other autonomous agents. Supports agent registration, matchmaking, messaging, shared goals, relationship lifecycle management, and real-time event subscriptions.
Enables AI-powered media manipulation including face swapping for videos and photos, lip syncing, and face detection via the Magic Hour AI platform. It provides tools for uploading files, managing video projects, and processing content from both local files and YouTube URLs.
An intelligent AI assistant routing and management platform that integrates 107 production-grade AI assistants into a unified enterprise intelligence service center.
Enables AI agents to control and manipulate live 3D scenes across frameworks like Three.js, A-Frame, and Babylon.js using a comprehensive set of object and environment tools. It features an integrated in-world chat system that allows for real-time scene modifications directly from within the 3D canvas.
An MCP server that interfaces with the Mailchimp Marketing API to manage audiences, email campaigns, and subscribers. It enables users to create and schedule campaigns, handle member lists, and send test or live emails through natural language commands.
A Model Context Protocol server that provides read-only access to Mailchimp's Marketing API for comprehensive email marketing data retrieval.
Provides identity infrastructure for AI agents to manage email communications, including sending, replying, and organizing messages. It also includes a secure vault for managing credentials and generating TOTP codes.
Mailgo Campaign Suite MCP Server AI-powered cold email campaign management through Model Context Protocol (MCP). Overview Mailgo Campaign Suite MCP Server connects your AI assistant directly to the Mailgo cold email platform. Through natural conversation, you can verify email addresses, claim pre-warmed mailboxes, launch campaigns, manage their lifecycle, and pull
MailSink is an MCP server for temporary, TTL-based email inboxes.
A Model Context Protocol (MCP) server that provides Google Search functionality with StreamableHTTP transport support.
An MCP server that provides access to the Majestic SEO API, allowing users to retrieve metrics like Trust Flow, Citation Flow, and backlink data. It enables domain comparisons, anchor text analysis, and tracking of new or lost backlinks through nine specialized tools.
This server enables AI assistants to discover, parameterize, and trigger Make.com automation workflows configured for on-demand execution. It allows users to execute scenarios and receive structured JSON results, bridging the gap between AI assistants and complex automation ecosystems.
Enables AI assistants to trigger and interact with Make automation workflows by exposing on-demand scenarios as callable tools. Allows AI systems to invoke Make scenarios with parameters and receive structured JSON responses.
