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qualityA versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices.
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Why this server?
A versatile Model Context Protocol server that enables AI assistants to search the web.
Why this server?
Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers.
Why this server?
Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment, thus fetching dynamic web content.
Why this server?
Built as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.
Why this server?
Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation by fetching relevant web content.
Why this server?
Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript, thus fetching web content.
Why this server?
A bridge that enables seamless integration of Ollama's local LLM capabilities into MCP-powered applications, allowing users to manage and run AI models locally with full API coverage, which could potentially involve fetching web data for certain AI models or instructions.