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  • MCPs
  • mcpmcp-server

    mcpmcp-server

    Seamlessly discover, set up, and integrate MCP servers with AI clients.

    mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

    • ⭐ 17
    • MCP
    • glenngillen/mcpmcp-server
  • imagen3-mcp

    imagen3-mcp

    Google Imagen 3.0 image generation service with MCP protocol integration.

    Imagen3-MCP is an image generation tool leveraging Google's Imagen 3.0 model and exposes its functionality via the Model Control Protocol (MCP). It requires a valid Google Gemini API key and can be easily deployed as a standalone executable. The tool supports flexible configuration with various environment variables and integrates with platforms like Cherry Studio and Cursor for seamless image generation tasks. Example prompts and outputs are provided to showcase its photorealistic image creation capabilities.

    • ⭐ 43
    • MCP
    • hamflx/imagen3-mcp
  • 1mcp-app/agent

    1mcp-app/agent

    A unified server that aggregates and manages multiple Model Context Protocol servers.

    1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

    • ⭐ 96
    • MCP
    • 1mcp-app/agent
  • mcp-server-js

    mcp-server-js

    Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

    YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

    • ⭐ 31
    • MCP
    • yepcode/mcp-server-js
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