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Automate browser tasks with sandboxed scripts, DOM actions, and tab management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "loki-auto MCP Server" yet — see the docs or source repo.
Use loki-auto to open the target page in a browser, click the login button and navigation items in sequence, then read text from specified DOM nodes and return the results.
Returns the browser action results and the extracted page text content.
Use loki-auto to create two tabs, open different URLs, switch between them, and report the current page title of each tab.
Returns tab creation and switching status, plus the title of each page.
Write and run a restricted Rhai script in a WebAssembly VM to execute a browser automation flow, including finding elements, clicking, and reading results.
Returns the script execution status and the page interaction results produced by the flow.
Developers can connect this MCP tool to an agent so it can perform web actions such as clicking and reading the DOM in a browser. It fits scenarios where natural-language tasks need to become real page interactions.
When a team wants a safer way to run automation scripts, it can use the sandboxed execution model in a WebAssembly VM. This enables browser tasks to run in a controlled environment.
When a workflow requires switching between pages, opening new tabs, and continuing actions, this tool provides tab management through MCP. It is useful for browser flows with multiple cross-page steps.
It is an MCP tool that lets LLM agents automate tasks through a browser. Known capabilities include running sandboxed Rhai scripts, interacting with the DOM, and managing browser tabs.
Based on the description, it drives browser tasks with secured Rhai scripts executed inside a WebAssembly VM. This provides a sandboxed execution model.
The provided material does not include installation steps, runtime requirements, or key information. See the source repository for details.
Let an AI agent run and modify an entire website via one MCP endpoint.
Automate browser navigation, interaction, and web data extraction for online tasks.
Control a headless local browser for navigation, interaction, screenshots, and debugging.
Control a real local browser for web automation, extraction, and screenshots.
Let AI control a real browser for navigation, forms, and web tasks.
Let AI automate local browser actions via a Chrome extension.