Codex is one of the most popular coding harnesses out there. And MCP makes the experience even better. With Browseai MCP integration, you can draft, triage, summarise emails, and much more, all without leaving the terminal or the app, whichever you prefer.
Table of Contents
Connect Browseai without Auth hassles
We manage OAuth, API Key, token refresh, and scopes, you just build.
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Why use Composio?
Apart from a managed and hosted MCP server, you will get:
- CodeAct: A dedicated workbench that allows GPT to write its code to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
- Large tool responses: Handle them to minimise context rot.
- Dynamic just-in-time access to 20,000 tools across 870+ other Apps for cross-app workflows. It loads the tools you need, so GPTs aren't overwhelmed by tools you don't need.
How to install Browseai MCP in Codex
Run the setup command
Run this command in your terminal to add the Composio MCP server to Codex.
It will initiate the authentication in a browser window, authorize Codex to access your Composio account.
(Optional) Authenticate with OAuth
To authenticate manually, run the login command to open a browser window and authorize Codex to access your Composio account.
Verify the connection
Run codex mcp list to confirm Composio appears as a registered MCP server.
Codex App
Codex App follows the same approach as VS Code.
- Click ⚙️ on the bottom left → MCP Servers → + Add servers → Streamable HTTP:
- Fill the header and Key fields with
{ "x-consumer-api-key" = "ck_*******" }. - The Key is the Composio API key, that you can find on connect.composio.dev
- Click on Authenticate and authorize Codex to your Composio account and you're all set.
- Restart and verify if it's there in
.codex/config.toml
What is the Browseai MCP server, and what's possible with it?
The Browseai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Browseai account. It provides structured and secure access to your robots, tasks, and monitoring workflows, so your agent can perform actions like running robots, extracting website data, monitoring for changes, and managing web automation tasks on your behalf.
- On-demand web data extraction: Trigger your Browseai robots to collect data from any website instantly, using custom input parameters for targeted web scraping.
- Automated website monitoring: Set up and manage recurring monitors that watch websites for changes, so your agent can alert you to updates or new information as soon as they happen.
- Bulk task execution: Launch thousands of data extraction tasks at once for large-scale or repeated scraping jobs, streamlining high-volume automation for your workflows.
- Task and robot management: Retrieve lists of your robots, fetch detailed results for specific tasks, check execution history, and delete obsolete tasks or monitors to keep your automation setup organized.
- Real-time notifications and workflow integration: Configure webhooks so your agent receives instant updates when tasks complete, fail, or when website changes are detected, enabling seamless integration with your broader systems.
Supported Tools & Triggers
Conclusion
You've successfully integrated Browseai with Codex using Composio's MCP server. Now you can interact with Browseai directly from your terminal, VS Code, or the Codex App using natural language commands.
Key benefits of this setup:
- Seamless integration across CLI, VS Code, and standalone app
- Natural language commands for Browseai operations
- Managed authentication through Composio
- Access to 20,000+ tools across 870+ apps for cross-app workflows
- CodeAct workbench for complex tool chaining
Next steps:
- Try asking Codex to perform various Browseai operations
- Explore cross-app workflows by connecting more toolkits
- Build automation scripts that leverage Codex's AI capabilities










