Connect Figranium with your favorite tools.

Use the official n8n community node to trigger Figranium browser tasks inside advanced, self-hosted workflows. Combine task execution with n8n's connector ecosystem, branching logic, schedules, and data transformations while retaining complete control over your automation environment.

Connect Figranium to Make's visual automation platform to trigger browser tasks, pass workflow inputs, and route execution results into broader scenarios. The integration is currently awaiting approval in the Make directory before it becomes publicly available.

Add Figranium to Activepieces flows to run browser tasks alongside the platform's open-source automation pieces. Pass variables into each task and reuse execution results across connected services once the integration is approved for the public directory.

Trigger Figranium browser workflows directly from Dify agentic flows and AI pipelines. Pass execution variables, orchestrate automated browser tasks, and return structured results to downstream AI components once the integration receives directory approval.

Use Figranium in Pipedream workflows to launch browser automations from events, API requests, scheduled jobs, and custom code steps. Send execution results to downstream services as part of serverless workflows once the integration receives directory approval.

Launch Figranium as a preconfigured DigitalOcean Droplet from the Marketplace, with the runtime and required services ready for first-time setup.

Deploy Figranium to a Hostinger VPS with Docker Manager. The one-click flow loads the official Docker Compose configuration, prepares the Docker environment, and opens the project ready to deploy without manual SSH setup.

Deploy Figranium from Easypanel and manage it alongside your other self-hosted applications. The planned template will simplify installation, configuration, updates, and persistent storage on an existing Easypanel server, and is currently awaiting approval.

Discover the Figranium MCP server on Glama, review its tools and setup details, and connect it to compatible AI clients. Agents can then create browser workflows, manage schedules, inspect execution results, and diagnose automation issues through MCP.

The Model Context Protocol (MCP) server for Figranium allows LLM clients (like Claude Desktop) to discover, execute, inspect, schedule, and programmatically create browser workflows. Empower your AI agents with rich input diagnostics and autonomous task execution.

The official SDK brings Figranium into TypeScript and JavaScript applications. Create and run tasks, pass variables, follow live execution progress, and manage the wider automation lifecycle while keeping the browser engine and data on your self-hosted instance.

Figranium exposes a comprehensive local REST API. Programmatically trigger tasks with custom variables, manage cron schedules, retrieve detailed execution logs, and manage captured media. Seamlessly integrate Figranium into custom agents, databases, or enterprise automation platforms.