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YouTube video interaction assistant
AI-powered intelligent viewing, liking, and commenting tools

Experience the next generation of YouTube automation. Combined with DICloak's professional fingerprint obfuscation technology, this tool supports natural language commands to precisely control the browser to access specified video links, simulating real people to watch, like, and post custom comments. Without writing complex scripts, you can safely and efficiently manage multi-account interaction tasks and improve video data metrics.

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Browse the specified Youtube videos by liking and commenting

How to use YouTube Interaction Bot (MCP RPA): From conversation to interaction

Simplify tedious matrix account interactions into a simple conversation. Connect your AI editor (e.g., Cursor/Claude) with the DICloak fingerprint browser via the MCP protocol. AI can accurately understand your interaction strategy (e.g., "comment after viewing an ad") and automatically command the browser to perform anthropomorphic actions without human intervention.

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Step 1: Connect and configure

Make AI connections Configure the DICloak MCP Server in Claude Desktop or Cursor. Make sure that the DICloak client is launched and that your account environment is signed in to YouTube.

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Step 2: Prompt

Natural language control Enter a command that includes a video link and interaction requirements. For example: "Please call the 'US_Fan_Account_03' environment and help me access this YouTube video [insert URL]. Please simulate real human behavior, don't skip the opening credits to support the creator, watch it for about 5 minutes, randomly decide whether to like it or not, and leave a comment: 'Great content, looking forward to the next one!'. "

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Step 3: Smart execution

Automated operation The AI Agent will launch the browser and jump to the target video page. It waits for the ad to end like a real viewer, controls the progress bar stay, performs like and comment inputs at the right time, and finally feeds back on the execution results.

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Who Should Use YouTube Interaction Bot (MCP RPA)?

1. MCN agencies and matrix operators

Solve the pain point: cold start difficulty. Newly released videos often lack initial data. Use your own matrix account to conduct compliant "internal loop" interactions (views, likes, comments) to quickly increase the basic weight of videos and trigger system recommendations.

2. Brand reputation manager

Solve pain points: public opinion guidance. Maintain your brand image by automatically posting positive comments or lead content under brand-related videos, or conduct compliant comment section marketing under competitive videos.

3. Community Interactive Groups (Pods)

Solve pain points: low mutual aid efficiency. When participating in Engagement Pods, manually liking and commenting on other people's videos can be time-consuming and labor-intensive. Automate mutual aid tasks with tools to ensure you are never absent and maintain good mutual aid credit.

4. Deep number raising players

Solve pain points: single behavior. Just browsing the homepage is not real enough. By specifying high-quality long-form videos in specific fields, without skipping ads and engaging deeply, you can greatly improve your account's "live" score (Trust Score).

Why is YouTube Interaction Bot (MCP RPA) the best choice for your needs?

"Talking to people" is code

Compared to rigid Python scripts, MCP allows you to fine-tune behavioral details with prompts. For example, you can ask for "only see no likes", "must finish the ad", or "comment content with emoji", all of which are flexible to AI can be executed.

The ultimate in anthropomorphic security

We understand YouTube's anti-cheat mechanisms. The tool runs in the DICloak fingerprint environment, and the operation includes random mouse trajectories and fluctuations in viewing duration, and supports highly anthropomorphic behaviors such as "do not skip ads" to avoid risk control to the greatest extent.

Data privacy guarantees

All browsing and interaction is done in your local environment. Account cookies and logs are not uploaded to the cloud, and you have full control over your account assets.

Seamless AI ecosystem integration

Perfect for Claude Desktop and Cursor. You can let AI automatically generate 10 different comment copy based on the video title, and then directly call this tool for distribution, realizing the integrated process of "copy generation - automatic comments".

Frequently asked questions about YouTube Interaction Bot (MCP RPA).

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Will using this tool be invalid by YouTube?

We provide a realistic fingerprint environment with DICloak and simulate full viewing behavior (e.g., watching ads, staying for long periods) rather than simple API swiping. The playback data generated by this is often seen as high-quality real traffic.

Can you like and comment on multiple videos at the same time?

Yes. You can provide a list of video URLs in your prompt or ask the AI to "access these 3 links in turn" and the AI will perform the task in the order of your instructions.

Is the review content multilingual?

Yes. The comment content is entirely defined by you in the prompt, or generated by AI. Whether it's English, Chinese, or Spanish, the tool can input as long as your input method or clipboard supports it.

What AI clients are supported?

Currently, Claude Desktop and Cursor, which integrate the MCP protocol, are mainly supported. This allows you to command the browser to "do the work" directly within the familiar AI conversational interface.

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