# How to integrate Browseai MCP with OpenClaw

```json
{
  "title": "How to integrate Browseai MCP with OpenClaw",
  "toolkit": "Browseai",
  "toolkit_slug": "browseai",
  "framework": "OpenClaw",
  "framework_slug": "openclaw",
  "url": "https://composio.dev/toolkits/browseai/framework/openclaw",
  "markdown_url": "https://composio.dev/toolkits/browseai/framework/openclaw.md",
  "updated_at": "2026-05-12T10:04:12.979Z"
}
```

## Introduction

OpenClaw is the fastest growing agent harness out there, which can work 24/7 to automate almost any kind of tasks. However, its capabilities are limited to the tools it has access to. Composio allows your OpenClaw to access Browseai with authentication management handled for you. You can execute actions on Browseai via your favorite OpenClaw interface (Telegram, WhatsApp, TUI, etc), whichever you prefer.

## Also integrate Browseai with

- [OpenAI Agents SDK](https://composio.dev/toolkits/browseai/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/browseai/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/browseai/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/browseai/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/browseai/framework/codex)
- [Hermes](https://composio.dev/toolkits/browseai/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/browseai/framework/cli)
- [Google ADK](https://composio.dev/toolkits/browseai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/browseai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/browseai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/browseai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/browseai/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/browseai/framework/crew-ai)

## TL;DR

### Why use Composio?
Apart from a managed and hosted MCP server, you will get:
- Programmatic tool calling allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
- Handling Large tool responses out of LLM context to minimize context rot.
- Dynamic just-in-time access to 20,000 tools across 1000+ other Apps for cross-app workflows. It loads the tools you need, so LLMs aren't overwhelmed by tools you don't need.

## Connect Browseai to OpenClaw

### How to install Browseai with OpenClaw
### Using Composio API Key and Setup Prompt
- Go to [dashboard.composio.dev](https://dashboard.composio.dev/login?next=/~/org/connect/clients/openclaw&utm_source=toolkits&utm_medium=framework_template&utm_campaign=openclaw&utm_content=setup_prompt)
- Copy the setup prompt
- Run it in your OpenClaw chat interface.
- Authenticate Browseai from the [dashboard](https://dashboard.composio.dev/login?next=/~/org/connect/clients/openclaw&utm_source=toolkits&utm_medium=framework_template&utm_campaign=openclaw&utm_content=authenticate)
- Go back to your OpenClaw interface and start asking questions.
### Using OpenClaw/Composio Plugin
1. Install OpenClaw Composio plugin

```bash
openclaw plugins install @composio/openclaw-plugin
```

## 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

| Tool slug | Name | Description |
|---|---|---|
| `BROWSEAI_BULK_RUN_TASKS` | Bulk Run Tasks | This action allows users to bulk run up to 1,000 tasks per API call using a specified robot. For larger datasets, submit multiple bulk runs sequentially (up to 500,000 tasks total). It provides a POST endpoint at /v2/robots/{robotId}/bulk-runs and supports parameters such as robot_id (required), title (required), and input_parameters (required). This bulk operation is essential for large-scale data extraction. |
| `BROWSEAI_CREATE_MONITOR` | Create Monitor | Creates a new monitor for a Browse AI robot to automatically track website changes over time. A monitor runs a robot on a recurring schedule and can notify you when the captured data (screenshots or text) changes. This is useful for tracking price changes, content updates, availability status, or any other dynamic website information. You must first have a robot created (via the Browse AI dashboard) before you can monitor it. Use the GET_ROBOTS action to find available robot IDs. Key features: - Configure recurring schedules (hourly, daily, weekly) using RRULE format - Get email notifications when screenshots or text content changes - Customize notification sensitivity with threshold settings - Override robot parameters for each monitor |
| `BROWSEAI_CREATE_WEBHOOK` | Create Webhook | This tool creates a new webhook for a Browse AI robot. Webhooks are HTTP callbacks that Browse AI sends to your server immediately when specific events occur, eliminating the need for polling. It is useful for: - Setting up automated notifications for task completion - Receiving real-time updates when changes are detected - Integrating Browse AI with your own systems - Automating workflows based on robot task results The webhook can be configured to trigger on different event types: - taskFinished: Triggers on any task completion (success or failure) - taskFinishedSuccessfully: Triggers only on successful task completions - taskFinishedWithError: Triggers only on failed task completions - taskCapturedDataChanged: Triggers when data changes are detected during monitoring - tableExportFinishedSuccessfully: Triggers when table export completes (Beta feature) Note: Browse AI only supports one event type per webhook. To monitor multiple event types, create separate webhooks for each event type. |
| `BROWSEAI_DELETE_MONITOR` | Delete a specific monitor | This tool allows users to delete a specific monitor from their Browse AI account. It uses the DELETE method and requires a valid monitor_id. |
| `BROWSEAI_DELETE_TASK` | Delete a specific task | This tool allows you to delete a specific task in BrowseAI by its task ID. It is used for cleaning up completed or failed tasks, managing resources, and maintaining your task list. |
| `BROWSEAI_GET_ROBOTS` | Get Robots List | Retrieves a list of all robots (automated web tasks) under your Browse AI account. A robot is an automated browser task that can be trained to perform web operations such as: - Opening webpages and navigating through sites - Logging into websites - Clicking buttons and filling forms - Extracting structured data from web pages - Monitoring websites for changes This action returns comprehensive information about each robot including: - Robot ID (required for running tasks via other API endpoints) - Robot name and timestamps (creation/update) - Input parameters the robot accepts (parameter names, types, and whether they're required) Use this to: - Discover available robots and their IDs for task execution - Check robot configuration and required input parameters - Monitor robot creation and update activity - Get an overview of all automated tasks in your account No parameters required - simply call this action to retrieve all robots. |
| `BROWSEAI_GET_ROBOT_TASKS` | Get Robot Tasks | Retrieves a paginated list of all tasks (execution runs) for a specific Browse AI robot. Each task represents one execution of the robot, which includes its current status, execution timestamps, input parameters, captured text data, screenshots, and extracted lists. This tool returns tasks in reverse chronological order (newest first) by default. Use the limit and offset parameters to paginate through large result sets. Use this tool to: - Check the status of recent robot executions (pending, running, successful, failed) - Access data captured by robot tasks (text, screenshots, lists) - Monitor robot performance and execution history - Retrieve task IDs for use with other task-related actions - Debug failed robot executions Note: You must have at least one robot configured in your Browse AI account to use this action. Use the Get Robots List action first to find available robot IDs. |
| `BROWSEAI_GET_SYSTEM_STATUS` | Get System Status | Tool to check the operational status of Browse AI infrastructure, including the tasks queue condition. Use when you need to verify if Browse AI services are operational before running robots or tasks. |
| `BROWSEAI_GET_TASK_DETAILS` | Get Task Details | Retrieves detailed information about a specific Browse AI task by robot ID and task ID. This tool returns comprehensive task details including execution status, captured data, screenshots, input parameters, timestamps (created, started, completed), and error information if the task failed. It provides an in-depth view of individual task execution for monitoring, debugging, and data retrieval purposes. Use this tool when you need to: - Check the current status of a task (running, successful, failed) - Retrieve data captured during task execution - Access screenshots taken during the task - Review input parameters used for the task - Debug task failures by examining error details - Monitor task execution timestamps |
| `BROWSEAI_LIST_ROBOT_WEBHOOKS` | List Robot Webhooks | Tool to retrieve all webhooks configured for a specific Browse AI robot. Use when you need to view, audit, or manage webhook configurations for a robot. Returns webhook details including URL, event type, active status, and creation timestamp. |
| `BROWSEAI_RUN_ROBOT` | Run Robot | Triggers the execution of a Browse.ai robot to extract data from websites. This action starts a new robot task that will scrape/extract data according to the robot's pre-configured settings. The robot runs asynchronously and returns a task ID immediately. To retrieve the extracted data, use BROWSEAI_GET_TASK_DETAILS with the returned task ID. Prerequisites: - You must have at least one robot configured in your Browse.ai account - Obtain robot_id using BROWSEAI_GET_ROBOTS action first - Know what input parameters your robot expects (configured during robot creation) Common use cases: - Scraping product data from e-commerce sites - Monitoring website changes for specific content - Extracting structured data from multiple web pages - Automating repetitive web data collection tasks Note: The robot executes asynchronously. Check task status using BROWSEAI_GET_TASK_DETAILS or BROWSEAI_GET_ROBOT_TASKS to retrieve results when the task completes. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Browseai MCP server provides comprehensive access to Browseai operations through Composio. Once connected, you can perform all major Browseai actions directly from OpenClaw using natural language commands.

## Complete Code

None listed.

## Conclusion

### Conclusion
You've successfully integrated Browseai with OpenClaw using Composio plugin. Now interact with Browseai directly from your terminal, Web UI, or any messenger app using natural language commands.
Key benefits of this setup:
- Seamless integration across TUI, Web UIs, and Messenger apps like Telegram, WhatsApp, Slack, etc.
- Natural language commands for Browseai operations
- Managed authentication through Composio
- Access to 20,000+ tools across 1000+ apps for cross-app workflows
- Programmatic tool calling for complex tool chaining
Next steps:
- Try asking OpenClaw to perform various Browseai operations
- Explore cross-app workflows by connecting more toolkits like Calendar, Slack, Notion, etc.
- Build complex automation scripts that leverage OpenClaw's 24/7 running capabilities

## How to build Browseai MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/browseai/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/browseai/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/browseai/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/browseai/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/browseai/framework/codex)
- [Hermes](https://composio.dev/toolkits/browseai/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/browseai/framework/cli)
- [Google ADK](https://composio.dev/toolkits/browseai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/browseai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/browseai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/browseai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/browseai/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/browseai/framework/crew-ai)

## Related Toolkits

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- [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.
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- [Databricks](https://composio.dev/toolkits/databricks) - Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. It empowers data teams to collaborate, analyze, and build scalable solutions efficiently.
- [Datagma](https://composio.dev/toolkits/datagma) - Datagma delivers data intelligence and analytics for business growth and market discovery. Get actionable market insights and track competitors to inform your strategy.
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- [Fireflies](https://composio.dev/toolkits/fireflies) - Fireflies.ai is an AI-powered meeting assistant that records, transcribes, and analyzes voice conversations. It helps teams capture call notes automatically and search or summarize meetings effortlessly.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Browseai MCP?

With a standalone Browseai MCP server, the agents and LLMs can only access a fixed set of Browseai tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Browseai and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenClaw?

Yes, you can. OpenClaw fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Browseai tools.

### Can I manage the permissions and scopes for Browseai while using Tool Router?

Yes, absolutely. You can configure which Browseai scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Browseai data and credentials are handled as safely as possible.

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