Weblok
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Enables Large Language Models to search and extract full web page content locally using a headless browser, eliminating the need for API keys.
About
Weblok is a local web search MCP server designed specifically for Windows, empowering Large Language Models like LM Studio to interact directly with the web. By leveraging headless browser control, it allows LLMs to perform searches and extract the complete content of web pages without relying on external API keys. This provides a robust, offline-capable solution for LLMs needing real-time web access and information retrieval, enhancing their capabilities with rich, on-demand web data.
Key Features
- No API key required for web search and content extraction.
- Supports slash aliases (`/fw`, `/ws`, `/pg`) for quick invocation in chat interfaces.
- Includes built-in rate limiting to prevent IP blocking during searches.
- 0 GitHub stars
- Three integrated tools: full web search (`fw`), web summaries (`ws`), and specific page content retrieval (`pg`).
- Written in TypeScript for easy extensibility and maintenance.
Use Cases
- Allowing LLMs to perform real-time web searches and access up-to-date information.
- Enabling LLMs to extract full web page content for deep analysis or summarization.
- Providing LLMs with summarized snippets of search results for quick overviews and context.
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