Bing Proxy – Overview | MCP Marketplace

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UBOS Asset Marketplace: go-proxy-bing - Your Gateway to Enhanced AI Interaction

In the rapidly evolving landscape of Artificial Intelligence, the need for seamless integration and accessible interfaces is paramount. The UBOS Asset Marketplace proudly presents go-proxy-bing, a meticulously crafted solution designed to bridge the gap between users and Microsoft’s New Bing, leveraging the power of Vue3 and Go. This isn’t just another demo; it’s a robust, globally accessible platform that redefines how you interact with AI.

What is go-proxy-bing?

go-proxy-bing is a sophisticated demonstration site built using Vue3 for the frontend and Go for the backend, mirroring the user interface and experience of Microsoft’s New Bing. It offers a consistent UI, supports ChatGPT prompts, and is accessible worldwide. This tool is designed to be highly compatible with all features of Microsoft Bing AI, allowing users to engage without the need for constant logins.

At its core, go-proxy-bing addresses several key challenges in AI accessibility:

  • Global Accessibility: Circumvents geographical restrictions, providing access to users in regions where direct access to Bing AI might be limited.
  • Ease of Use: Offers a familiar and intuitive interface, reducing the learning curve for new users.
  • Enhanced Functionality: Supports ChatGPT prompts, expanding the range of possible interactions and applications.
  • Reduced Friction: Eliminates the need for frequent logins, streamlining the user experience.

Key Features

  • Consistent UI: Mirrors the familiar interface of Microsoft New Bing, ensuring a smooth transition for existing users.
  • ChatGPT Prompt Support: Enhances interaction capabilities, enabling users to leverage a wider range of prompts and commands.
  • Global Availability: Designed to be accessible from anywhere in the world, bypassing regional restrictions.
  • Login-Free Access: Reduces barriers to entry by eliminating the need for constant authentication.
  • Versatile Deployment: Supports multiple deployment options, including Docker, Release packages, Railway, Vercel, and Render.
  • Customizable: Offers extensive customization options through environment variables and configuration settings.
  • Socks Proxy Support: Allows users to configure a SOCKS proxy for enhanced privacy and security.
  • User Cookie Support: Enables advanced features like image generation through Microsoft account login.

Use Cases

go-proxy-bing unlocks a wide array of use cases, making it an invaluable asset for various scenarios:

  • AI-Powered Research: Conduct comprehensive research using Bing AI’s capabilities, enhanced by ChatGPT prompts.
  • Content Creation: Generate high-quality content for blogs, articles, and social media using AI-driven suggestions.
  • Educational Purposes: Facilitate learning and exploration of AI technologies in educational settings.
  • Business Intelligence: Gather and analyze business-related information using AI-powered insights.
  • Personal Assistance: Leverage AI for personal tasks, such as scheduling, reminders, and information retrieval.
  • Image Generation: Create unique and engaging visuals using Bing AI’s image generation capabilities (requires login).
  • Circumventing Restrictions: Access Bing AI in regions where it might be otherwise unavailable.
  • Experimentation and Development: Provide a sandboxed environment for developers to experiment with AI models and prompts.

Deployment Options

go-proxy-bing is designed for flexible deployment across various platforms, catering to different user preferences and technical capabilities. Here’s a detailed look at the available deployment options:

Docker

Docker provides a containerized environment for consistent and reproducible deployments. To deploy go-proxy-bing using Docker:

  1. Ensure Docker is installed on your system.
  2. Clone the go-proxy-bingai repository from GitHub.
  3. Navigate to the docker directory.
  4. Build the Docker image using docker build -t go-proxy-bingai .
  5. Run the Docker container using docker run -d -p 8080:8080 --name go-proxy-bingai --restart=unless-stopped go-proxy-bingai
  6. Access the application at http://localhost:8080

Release

Pre-built binaries are available for various platforms, simplifying the deployment process:

  1. Download the appropriate release for your operating system from the GitHub Releases page.
  2. Extract the downloaded archive.
  3. Run the executable file.
  4. Access the application at http://localhost:8080

Railway

Railway offers a streamlined deployment process with automatic scaling and monitoring:

  1. Create a Railway account.
  2. Fork the go-proxy-bingai repository on GitHub.
  3. Connect your GitHub account to Railway.
  4. Create a new project on Railway and select the go-proxy-bingai repository.
  5. Configure the necessary environment variables, such as PORT.
  6. Deploy the application.
  7. Access the application through the provided Railway URL.

Vercel

Vercel provides a serverless deployment platform optimized for performance and scalability:

  1. Create a Vercel account.
  2. Fork the go-proxy-bingai repository on GitHub.
  3. Connect your GitHub account to Vercel.
  4. Create a new project on Vercel and select the go-proxy-bingai repository.
  5. Deploy the application.
  6. Access the application through the provided Vercel URL.

Note: Vercel does not support WebSockets, so you need to select official chat server or Cloudflare.

Render

Render offers a fully managed cloud platform for deploying web applications and services:

  1. Create a Render account.
  2. Fork the go-proxy-bingai repository on GitHub.
  3. Connect your GitHub account to Render.
  4. Create a new web service on Render and select the go-proxy-bingai repository.
  5. Deploy the application.
  6. Access the application through the provided Render URL.

Configuring User Settings

To enhance the user experience, go-proxy-bing allows users to configure various settings, including user cookies. This is particularly useful for accessing advanced features like image generation.

  1. Visit https://www.bing.com/ or https://cn.bing.com/ and log in to your Microsoft account.
  2. Open the browser’s developer tools (F12 or Ctrl + Shift + I).
  3. Find the _U cookie value in the Cookie section.
  4. Enter this value in the website settings under “Set User”.

Environment Variables

go-proxy-bing supports a range of environment variables that allow you to customize the application’s behavior:

  • PORT: Specifies the port on which the application will listen (default: 8080).
  • Go_Proxy_BingAI_SOCKS_URL: Configures a SOCKS proxy for enhanced privacy.
  • Go_Proxy_BingAI_SOCKS_USER: Specifies the username for the SOCKS proxy.
  • Go_Proxy_BingAI_SOCKS_PWD: Specifies the password for the SOCKS proxy.
  • Go_Proxy_BingAI_USER_TOKEN_*: Sets user cookies for accessing advanced features.
  • Go_Proxy_BingAI_AUTH_KEY: Enables simple authentication with a password.

Deploying a Chat Server

To enhance the application’s performance and reliability, you can deploy your own chat server using Cloudflare Workers:

  1. Create a Cloudflare account.
  2. Create a new Worker service.
  3. Copy the code from cloudflare/worker.js into the Worker service.
  4. Save and deploy the service.
  5. Configure a custom domain for the Worker service.

Why UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems.

Integrating go-proxy-bing with UBOS can further enhance its capabilities by providing a centralized platform for managing and deploying AI-powered applications. UBOS offers:

  • Agent Orchestration: Seamlessly manage and coordinate multiple AI Agents.
  • Data Integration: Connect AI Agents with enterprise data sources for enhanced insights.
  • Customization: Build custom AI Agents tailored to specific business needs.
  • Scalability: Scale AI Agent deployments to meet growing demands.

By leveraging the power of UBOS, you can unlock the full potential of go-proxy-bing and other AI-powered applications.

Conclusion

go-proxy-bing represents a significant step forward in making AI technologies more accessible and user-friendly. Whether you’re a researcher, content creator, educator, or business professional, this tool offers a wealth of opportunities to leverage the power of AI. Explore the possibilities, experiment with different prompts, and discover how go-proxy-bing can transform the way you interact with artificial intelligence.

And with UBOS, the possibilities are endless. Integrate go-proxy-bing into your AI Agent ecosystem and unlock new levels of efficiency, productivity, and innovation.

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