Connect any AI assistant to the web with CloudBrowser's powerful MCP server. Enable Claude, Custom AI tools, and MCP clients to browse, interact, and automate web content seamlessly.
Set up CloudBrowser MCP server step by step. From prerequisites to practical examples.
For OpenAI Agents, n8n, and Make integrations, use the HTTP endpoint
https://mcp.cloudbrowser.aiBearer your_api_token_hereCloudBrowser MCP server works seamlessly with these automation platforms using the HTTP endpoint above
Build intelligent agents with web browsing capabilities using OpenAI's platform
Automate web interactions within your n8n workflows using HTTP requests
Integrate browser automation into Make scenarios via HTTP modules
If you have configuration issues, check our documentation or contact support.
CloudBrowser MCP server works seamlessly with popular AI tools and platforms. Connect once, use everywhere.
Native integration with Anthropic's Claude Desktop application
~/Library/Application Support/Claude/claude_desktop_config.jsonAI-powered IDE with advanced web capabilities
~/.cursor/mcp.jsonCodeium code editor with advanced MCP integration
~/.codeium/windsurf/mcp_config.jsonOfficial Claude CLI with complete MCP support
claude mcp add-jsonOfficial tool for debugging and testing MCP connections
npx @modelcontextprotocol/inspectorAI assistant for Visual Studio Code with web context
cline_mcp_settings.jsonVSCode extension for AI-assisted development
config.jsonCommand-line tool for AI-powered programming
Terminal commandAutomate workflows with web browsing capabilities
n8n workflow nodesCloudBrowser implements the standard MCP protocol, making it compatible with any MCP client.
The most powerful and reliable MCP server for web automation. Built for enterprises, loved by developers.
Give your AI assistants the ability to browse any website, extract data, and interact with web content in real-time.
Optimized cloud infrastructure delivers web content to your AI tools with minimal latency and maximum reliability.
Built with security-first principles, including data encryption, secure proxies, and compliance-ready architecture.
Standard MCP protocol implementation ensures compatibility with any MCP client, with comprehensive SDKs and documentation.
Smart caching layer reduces redundant requests and improves performance while ensuring fresh content when needed.
Purpose-built for AI workloads with features like content summarization, structured extraction, and context preservation.
Join thousands of developers who are already using CloudBrowser MCP to build the next generation of AI applications.