Which Large Language Models are supported?

The tool supports ChatGPT (chatgpt.com), Claude (claude.ai), Gemini (gemini.google.com), DeepSeek (chat.deepseek.com), Grok (grok.com), and Qwen (chat.qwen.ai). You can query them individually or all at once.

What is Web LLM Aggregator?

Web LLM Aggregator integrates free web versions of popular Large Language Models (LLMs) like ChatGPT, Claude, Gemini, DeepSeek, Grok, and Qwen directly into your AI IDE as callable tools, enabling multi-model queries.

How does it integrate with my AI IDE?

It functions as an MCP Server that you configure in your AI IDE (such as Trae or Cursor). It then uses browser automation to interact with the web interfaces of the LLMs in a dedicated local Chrome instance.

How does Web LLM Aggregator help save costs?

It leverages the free web interfaces of these LLMs, eliminating the need for expensive API keys or tokens. This provides high-quality model outputs without incurring any API expenses.

Do I need API keys or tokens to use this tool?

No, Web LLM Aggregator explicitly operates without requiring any API keys or tokens. It connects to your local Chrome instance via Playwright and CDP, reusing your existing web login sessions for free access.

Web LLM Aggregator: Zero-Cost AI IDE Integration Tool

The Web LLM Aggregator functions as a zero-cost, non-API MCP Server that bridges your AI IDE (like Trae or Cursor) with the free web interfaces of top-tier large language models such as ChatGPT, Claude, Gemini, DeepSeek, Grok, and Qwen. By leveraging browser automation with Playwright and CDP, it connects to your existing Chrome instance, reusing your login states to enable parallel querying of multiple models without requiring any API keys or tokens. This allows developers to access high-quality model outputs directly from their development environment, significantly reducing operational costs while enhancing productivity.

주요 기능

01Browser Automation: Connects to your local Chrome instance via Playwright and CDP, reusing login sessions.

02Multi-Session Isolation: Supports independent browser tabs for different tasks using session IDs.

03Multi-Model Aggregation: Query multiple supported models simultaneously with a single tool.

04Zero API Costs: Utilizes free web interfaces, eliminating the need for API keys or tokens.

05Cost Saving: Provides high-quality LLM outputs without incurring API expenses.

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사용 사례

01Query multiple large language models in parallel for comparative analysis and diverse perspectives on a given prompt within your AI IDE.

02Integrate diverse AI capabilities directly into your development workflow to enhance productivity and streamline tasks like code generation, documentation, and research.

03Utilize free web versions of advanced AI models for coding assistance, content generation, and problem-solving without incurring API costs.