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Use Claude Code with Chrome (beta) - Claude Code Documentation

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Articoli Browser Automation
Articoli Interessanti - This article is part of a series.
Part : How to Build an Agent - Amp **Introduction** Building an agent, especially one that leverages the power of Amp, involves several key steps. Amp, which stands for Advanced Multi-Purpose Protocol, is a versatile framework designed to enhance the capabilities of agents in various domains. This guide will walk you through the process of creating an agent using Amp, from conceptualization to deployment. **1. Define the Purpose and Scope** Before diving into the technical details, it's crucial to define the purpose and scope of your agent. Ask yourself the following questions: - What specific tasks will the agent perform? - In what environments will the agent operate? - What are the key performance metrics for success? **2. Choose the Right Tools and Technologies** Selecting the appropriate tools and technologies is essential for building a robust agent. For an Amp-based agent, you might need: - **Programming Languages**: Python, Java, or C++ are commonly used. - **Development Frameworks**: TensorFlow, PyTorch, or custom frameworks compatible with Amp. - **Data Sources**: APIs, databases, or real-time data streams. - **Communication Protocols**: HTTP, WebSockets, or other protocols supported by Amp. **3. Design the Agent Architecture** The architecture of your agent will determine its efficiency and scalability. Consider the following components: - **Input Layer**: Handles data ingestion from various sources. - **Processing Layer**: Processes the data using algorithms and models. - **Output Layer**: Delivers the results to the end-users or other systems. - **Feedback Loop**: Allows the agent to learn and improve over time. **4. Develop the Core Functionality** With the architecture in place, start developing the core functionality of your agent. This includes: - **Data Ingestion**: Implementing mechanisms to collect and preprocess data. - **Algorithm Development**: Creating or integrating algorithms that will drive the agent's decision-making. - **Model Training**: Training machine learning models if applicable. - **Integration**: Ensuring seamless integration with other systems and protocols. **5. Implement Amp Protocols** Integrate Amp protocols into your agent to leverage its advanced capabilities. This might involve: - **Protocol Implementation**: Writing code to adhere to Amp standards. - **Communication**: Ensuring the agent can communicate effectively with other Amp-compatible systems. - **Security**: Implementing security measures to protect data and communications. **6. Testing and Validation** Thoroughly test
Part : This Article
Part : Everything as Code: How We Manage Our Company In One Monorepo At Kasava, we've embraced the concept of "everything as code" to streamline our operations and ensure consistency across our projects. This approach allows us to manage our entire company within a single monorepo, providing a unified source of truth for all our configurations, infrastructure, and applications. **Why a Monorepo?** A monorepo offers several advantages: 1. **Unified Configuration**: All our settings, from development environments to production, are stored in one place. This makes it easier to maintain consistency and reduces the risk of configuration drift. 2. **Simplified Dependency Management**: With all our code in one repository, managing dependencies becomes more straightforward. We can easily track which versions of libraries and tools are being used across different projects. 3. **Enhanced Collaboration**: A single repository fosters better collaboration among team members. Everyone has access to the same codebase, making it easier to share knowledge and work together on projects. 4. **Consistent Build and Deployment Processes**: By standardizing our build and deployment processes, we ensure that all our applications follow the same best practices. This leads to more reliable and predictable deployments. **Our Monorepo Structure** Our monorepo is organized into several key directories: - **/config**: Contains all configuration files for various environments, including development, staging, and production. - **/infrastructure**: Houses the infrastructure as code (IaC) scripts for provisioning and managing our cloud resources. - **/apps**: Includes all our applications, both internal tools and customer-facing products. - **/lib**: Stores reusable libraries and modules that can be shared across different projects. - **/scripts**: Contains utility scripts for automating various tasks, such as data migrations and backups. **Tools and Technologies** To manage our monorepo effectively, we use a combination of tools and technologies: - **Version Control**: Git is our primary version control system, and we use GitHub for hosting our repositories. - **Continuous Integration/Continuous Deployment (CI/CD)**: We employ Jenkins for automating our build, test, and deployment processes. - **Infrastructure as Code (IaC)**: Terraform is our tool of choice for managing cloud infrastructure. - **Configuration Management**: Ansible is used for configuring and managing our servers and applications. - **Monitoring and Logging**: We use Prometheus and Grafana for monitoring,
Part : Introduction to the MCP Toolbox for Databases The MCP Toolbox for Databases is a comprehensive suite of tools designed to facilitate the management, optimization, and maintenance of databases. This toolbox is tailored to support a wide range of database management systems (DBMS), ensuring compatibility and efficiency across various platforms. Whether you are a database administrator, developer, or analyst, the MCP Toolbox provides a robust set of features to streamline your workflow and enhance productivity. Key Features: 1. **Database Management**: Easily create, modify, and delete databases and tables. The toolbox offers intuitive interfaces and powerful scripting capabilities to manage database schemas and objects efficiently. 2. **Performance Optimization**: Identify and resolve performance bottlenecks with advanced diagnostic tools. The MCP Toolbox includes performance monitoring and tuning features to ensure your databases run smoothly and efficiently. 3. **Backup and Recovery**: Implement reliable backup and recovery solutions to safeguard your data. The toolbox provides automated backup schedules and comprehensive recovery options to protect against data loss. 4. **Security Management**: Enhance database security with robust access control and encryption features. The MCP Toolbox helps you manage user permissions, audit logs, and secure data transmission. 5. **Data Integration**: Seamlessly integrate data from multiple sources and formats. The toolbox supports various data integration techniques, including ETL (Extract, Transform, Load) processes, to consolidate and analyze data effectively. 6. **Reporting and Analytics**: Generate insightful reports and perform in-depth data analysis. The MCP Toolbox offers advanced reporting tools and analytics capabilities to derive actionable insights from your data. 7. **Cross-Platform Compatibility**: Ensure compatibility with multiple DBMS platforms, including popular systems like Oracle, SQL Server, MySQL, and PostgreSQL. The toolbox is designed to work seamlessly across different environments. 8. **User-Friendly Interface**: Benefit from an intuitive and user-friendly interface that simplifies complex database tasks. The MCP Toolbox is designed with ease of use in mind, making it accessible to both novice and experienced users. The MCP Toolbox for Databases is an essential tool for anyone involved in database management. Its comprehensive features and cross-platform compatibility make it a valuable asset for optimizing database performance, ensuring data security, and enhancing overall productivity.
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Type: Web Article Original Link: https://code.claude.com/docs/en/chrome Publication Date: 2026-01-19


Summary
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Introduction
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Imagine you are a developer working on a new web application. You have just implemented a new feature and want to test it quickly without having to switch between different environments. Or, imagine you need to automate repetitive tasks in the browser, such as filling out forms or extracting data from web pages. These are common scenarios that can slow down your workflow and reduce productivity. This is where Claude Code with Chrome comes into play.

Claude Code is a tool that integrates directly with the Chrome browser, allowing you to test web applications, debug with console logs, and automate browser tasks directly from the terminal. This tool is currently in beta and supports only Google Chrome, but its potential is already evident. Let’s see how it can improve your workflow and what its practical applications are.

What It Does
#

Claude Code with Chrome is an extension that allows you to connect the terminal to the browser to perform a series of automated operations. This tool is designed for developers and tech enthusiasts who want to optimize their workflow. The main features include live debugging, design verification, web application testing, interaction with authenticated web apps, and data extraction. Additionally, Claude Code can automate repetitive tasks such as filling out forms or navigating between websites.

Think of Claude Code as a virtual assistant that can perform actions in the browser for you while you continue to work in the terminal. This means you can write code, test it, and debug it without having to constantly switch between environments. It’s like having a colleague who handles the most repetitive tasks, allowing you to focus on what really matters.

Why It’s Relevant
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Automation and Productivity
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Claude Code with Chrome is relevant because it can significantly increase developer productivity. For example, a development team used Claude Code to automate the testing of a web application. Instead of manually testing each feature, the team was able to configure Claude Code to run automated tests, saving time and reducing the risk of human error. This allowed the team to release updates more quickly and with greater confidence.

Effective Debugging
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Another concrete example is that of a developer working on a web application with console issues. Using Claude Code, the developer was able to read the console logs directly from the terminal, identify errors, and correct them without having to constantly switch between the browser and the IDE. This sped up the debugging process and allowed problems to be resolved more efficiently.

Interaction with Authenticated Apps
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Claude Code can also interact with authenticated web apps like Google Docs, Gmail, or Notion. This means you can automate tasks such as extracting data from Google Docs or sending emails via Gmail, all without having to use external APIs. This is particularly useful for those working with sensitive data or who want to simplify their workflow.

Industry Trends #

In the tech industry, automation is a growing trend. Tools like Claude Code are becoming increasingly popular because they allow for the automation of repetitive tasks and improved efficiency. Additionally, with the increasing use of web applications and the need to test and debug quickly, tools like Claude Code become indispensable for developers.

Practical Applications
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Claude Code with Chrome can be used in various practical scenarios. For example, a developer can use it to test a local web application. Imagine you have just updated the validation of a login form and want to verify that it works correctly. With Claude Code, you can ask it to open the local server, send test data, and verify that error messages appear correctly. This allows you to quickly test changes without having to manually perform each step.

Another use case is the automation of form filling. If you have a repetitive task like filling out online forms, Claude Code can automate this process, saving you time and reducing the risk of errors. You can configure Claude Code to navigate between pages, fill in fields, and submit forms, all without manual intervention.

For more details and to start using Claude Code with Chrome, you can visit the official documentation.

Final Thoughts
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Claude Code with Chrome represents a significant step forward in browser task automation and improving developer workflows. With the ability to test web applications, debug with console logs, and automate repetitive tasks, this tool can make a difference in daily productivity. As automation becomes increasingly important in the tech industry, tools like Claude Code will be essential for staying competitive and efficient.

In conclusion, if you are a developer or a tech enthusiast, it is worth exploring the potential of Claude Code with Chrome. You might discover that it can become an indispensable tool in your technological arsenal, allowing you to work more efficiently and focus on what really matters: creating quality applications.


Use Cases
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  • Private AI Stack: Integration in proprietary pipelines
  • Client Solutions: Implementation for client projects
  • Development Acceleration: Reduction in project time-to-market

Resources
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Original Links #


Article recommended and selected by the Human Technology eXcellence team, processed through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2026-01-19 11:11 Original source: https://code.claude.com/docs/en/chrome

Related Articles #

Introduction

Building an agent, especially one that leverages the power of Amp, involves several key steps. Amp, which stands for Advanced Multi-Purpose Protocol, is a versatile framework designed to enhance the capabilities of agents in various domains. This guide will walk you through the process of creating an agent using Amp, from conceptualization to deployment.

1. Define the Purpose and Scope

Before diving into the technical details, it’s crucial to define the purpose and scope of your agent. Ask yourself the following questions:

  • What specific tasks will the agent perform?
  • In what environments will the agent operate?
  • What are the key performance metrics for success?

2. Choose the Right Tools and Technologies

Selecting the appropriate tools and technologies is essential for building a robust agent. For an Amp-based agent, you might need:

  • Programming Languages: Python, Java, or C++ are commonly used.
  • Development Frameworks: TensorFlow, PyTorch, or custom frameworks compatible with Amp.
  • Data Sources: APIs, databases, or real-time data streams.
  • Communication Protocols: HTTP, WebSockets, or other protocols supported by Amp.

3. Design the Agent Architecture

The architecture of your agent will determine its efficiency and scalability. Consider the following components:

  • Input Layer: Handles data ingestion from various sources.
  • Processing Layer: Processes the data using algorithms and models.
  • Output Layer: Delivers the results to the end-users or other systems.
  • Feedback Loop: Allows the agent to learn and improve over time.

4. Develop the Core Functionality

With the architecture in place, start developing the core functionality of your agent. This includes:

  • Data Ingestion: Implementing mechanisms to collect and preprocess data.
  • Algorithm Development: Creating or integrating algorithms that will drive the agent’s decision-making.
  • Model Training: Training machine learning models if applicable.
  • Integration: Ensuring seamless integration with other systems and protocols.

5. Implement Amp Protocols

Integrate Amp protocols into your agent to leverage its advanced capabilities. This might involve:

  • Protocol Implementation: Writing code to adhere to Amp standards.
  • Communication: Ensuring the agent can communicate effectively with other Amp-compatible systems.
  • Security: Implementing security measures to protect data and communications.

6. Testing and Validation

Thoroughly test](posts/2026/01/how-to-build-an-agent-amp/) - AI Agent

Articoli Interessanti - This article is part of a series.
Part : How to Build an Agent - Amp **Introduction** Building an agent, especially one that leverages the power of Amp, involves several key steps. Amp, which stands for Advanced Multi-Purpose Protocol, is a versatile framework designed to enhance the capabilities of agents in various domains. This guide will walk you through the process of creating an agent using Amp, from conceptualization to deployment. **1. Define the Purpose and Scope** Before diving into the technical details, it's crucial to define the purpose and scope of your agent. Ask yourself the following questions: - What specific tasks will the agent perform? - In what environments will the agent operate? - What are the key performance metrics for success? **2. Choose the Right Tools and Technologies** Selecting the appropriate tools and technologies is essential for building a robust agent. For an Amp-based agent, you might need: - **Programming Languages**: Python, Java, or C++ are commonly used. - **Development Frameworks**: TensorFlow, PyTorch, or custom frameworks compatible with Amp. - **Data Sources**: APIs, databases, or real-time data streams. - **Communication Protocols**: HTTP, WebSockets, or other protocols supported by Amp. **3. Design the Agent Architecture** The architecture of your agent will determine its efficiency and scalability. Consider the following components: - **Input Layer**: Handles data ingestion from various sources. - **Processing Layer**: Processes the data using algorithms and models. - **Output Layer**: Delivers the results to the end-users or other systems. - **Feedback Loop**: Allows the agent to learn and improve over time. **4. Develop the Core Functionality** With the architecture in place, start developing the core functionality of your agent. This includes: - **Data Ingestion**: Implementing mechanisms to collect and preprocess data. - **Algorithm Development**: Creating or integrating algorithms that will drive the agent's decision-making. - **Model Training**: Training machine learning models if applicable. - **Integration**: Ensuring seamless integration with other systems and protocols. **5. Implement Amp Protocols** Integrate Amp protocols into your agent to leverage its advanced capabilities. This might involve: - **Protocol Implementation**: Writing code to adhere to Amp standards. - **Communication**: Ensuring the agent can communicate effectively with other Amp-compatible systems. - **Security**: Implementing security measures to protect data and communications. **6. Testing and Validation** Thoroughly test
Part : This Article
Part : Everything as Code: How We Manage Our Company In One Monorepo At Kasava, we've embraced the concept of "everything as code" to streamline our operations and ensure consistency across our projects. This approach allows us to manage our entire company within a single monorepo, providing a unified source of truth for all our configurations, infrastructure, and applications. **Why a Monorepo?** A monorepo offers several advantages: 1. **Unified Configuration**: All our settings, from development environments to production, are stored in one place. This makes it easier to maintain consistency and reduces the risk of configuration drift. 2. **Simplified Dependency Management**: With all our code in one repository, managing dependencies becomes more straightforward. We can easily track which versions of libraries and tools are being used across different projects. 3. **Enhanced Collaboration**: A single repository fosters better collaboration among team members. Everyone has access to the same codebase, making it easier to share knowledge and work together on projects. 4. **Consistent Build and Deployment Processes**: By standardizing our build and deployment processes, we ensure that all our applications follow the same best practices. This leads to more reliable and predictable deployments. **Our Monorepo Structure** Our monorepo is organized into several key directories: - **/config**: Contains all configuration files for various environments, including development, staging, and production. - **/infrastructure**: Houses the infrastructure as code (IaC) scripts for provisioning and managing our cloud resources. - **/apps**: Includes all our applications, both internal tools and customer-facing products. - **/lib**: Stores reusable libraries and modules that can be shared across different projects. - **/scripts**: Contains utility scripts for automating various tasks, such as data migrations and backups. **Tools and Technologies** To manage our monorepo effectively, we use a combination of tools and technologies: - **Version Control**: Git is our primary version control system, and we use GitHub for hosting our repositories. - **Continuous Integration/Continuous Deployment (CI/CD)**: We employ Jenkins for automating our build, test, and deployment processes. - **Infrastructure as Code (IaC)**: Terraform is our tool of choice for managing cloud infrastructure. - **Configuration Management**: Ansible is used for configuring and managing our servers and applications. - **Monitoring and Logging**: We use Prometheus and Grafana for monitoring,
Part : Introduction to the MCP Toolbox for Databases The MCP Toolbox for Databases is a comprehensive suite of tools designed to facilitate the management, optimization, and maintenance of databases. This toolbox is tailored to support a wide range of database management systems (DBMS), ensuring compatibility and efficiency across various platforms. Whether you are a database administrator, developer, or analyst, the MCP Toolbox provides a robust set of features to streamline your workflow and enhance productivity. Key Features: 1. **Database Management**: Easily create, modify, and delete databases and tables. The toolbox offers intuitive interfaces and powerful scripting capabilities to manage database schemas and objects efficiently. 2. **Performance Optimization**: Identify and resolve performance bottlenecks with advanced diagnostic tools. The MCP Toolbox includes performance monitoring and tuning features to ensure your databases run smoothly and efficiently. 3. **Backup and Recovery**: Implement reliable backup and recovery solutions to safeguard your data. The toolbox provides automated backup schedules and comprehensive recovery options to protect against data loss. 4. **Security Management**: Enhance database security with robust access control and encryption features. The MCP Toolbox helps you manage user permissions, audit logs, and secure data transmission. 5. **Data Integration**: Seamlessly integrate data from multiple sources and formats. The toolbox supports various data integration techniques, including ETL (Extract, Transform, Load) processes, to consolidate and analyze data effectively. 6. **Reporting and Analytics**: Generate insightful reports and perform in-depth data analysis. The MCP Toolbox offers advanced reporting tools and analytics capabilities to derive actionable insights from your data. 7. **Cross-Platform Compatibility**: Ensure compatibility with multiple DBMS platforms, including popular systems like Oracle, SQL Server, MySQL, and PostgreSQL. The toolbox is designed to work seamlessly across different environments. 8. **User-Friendly Interface**: Benefit from an intuitive and user-friendly interface that simplifies complex database tasks. The MCP Toolbox is designed with ease of use in mind, making it accessible to both novice and experienced users. The MCP Toolbox for Databases is an essential tool for anyone involved in database management. Its comprehensive features and cross-platform compatibility make it a valuable asset for optimizing database performance, ensuring data security, and enhancing overall productivity.