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TikTok automatically views likes
AI-powered intelligent account maintenance and homepage interactive assistant

Say goodbye to tedious Python scripts and rigid automation software. This is a TikTok smart account raising tool that supports the MCP protocol. Combined with DICloak's exclusive fingerprint obfuscation technology, you only need to say a natural language command to the AI, and the browser can automatically browse the homepage flow (For You), randomly like and simulate human behavior, and quickly increase account weight and activity.

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Tiktok views and likes the homepage video

How to Auto-View Likes (MCP RPA) with TikTok: From Conversation to Execution

Simplify complex account operations into a natural conversation. This tool connects your AI editor (e.g., Cursor/Claude) with the DICloak fingerprint browser via the MCP protocol, allowing the AI to understand your intent and translate it into a secure underlying browser operation without any programming foundation.

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Step 1: Connect and configure

Establish an AI connection and configure the DICloak MCP Server in Claude Desktop or Cursor. Make sure your DICloak client is launched and your TikTok account environment is configured.

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Step 2: Prompt

Natural language control, enter your needs in a dialog box. For example: "Please turn on my fingerprint environment named 'US_Beauty_01' and help me automatically swipe the TikTok homepage recommendation stream. Stay on the board for 15 minutes, stay longer when you encounter a beauty video, and randomly like 3-5 related videos to mimic a real person. "

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Step 3: Smart execution

Automated operation The AI Agent will automatically take over the browser, simulating real human mouse trajectories (Bezier curves) and reading cadences to perform tasks. You can see the operation process in real time on the screen, and the AI will automatically feedback the results when the task is completed.

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Who Should Use TikTok Auto View Likes (MCP RPA)?

1. Matrix Account Operator

Solve pain points: It is difficult to raise numbers in batches. Batch command multiple environments to perform daily active operations through natural language, eliminating the need for manual clicks one by one, greatly reducing labor costs, and quickly completing the "cold start" of new accounts.

2. Cross-border e-commerce/affiliate promoters

Solve the pain point: the label is inaccurate. Quickly "domesticate" TikTok's recommendation algorithm by specifying browsing preferences (e.g., "only watch pet videos") through prompts, allowing accounts to be tagged with precise vertical domains.

3. Social Media Growth Hacking

Solve pain points: Frequent risk control bans. Leverage the deep integration of MCP and DICloak to ensure that every like and swipe has an independent device fingerprint and anthropomorphic trajectory, evading platform bot detection to the greatest extent.

4. Content Creators

Solve the pain point: lack of interaction. Use fragmented time to automatically perform mutual aid warm-up tasks to maintain the online duration and activity of the account and avoid being judged as a low-quality or zombie account by the system.

Why is TikTok Auto View Likes (MCP RPA) the best choice for your needs?

"Talking to people" is code

Traditional RPA requires you to learn complex node drags and drops or write code, which fails once the TikTok interface fine-tunes the script. MCP RPA has semantic understanding, and you can adjust the prompt as if you were giving a command to an assistant (e.g., "I don't like it today"), and the AI will automatically adapt to the change.

The ultimate in anthropomorphic security

Safety is our bottom line. The tool runs within the DICloak fingerprint environment with isolated IP, Canvas fingerprints, and hardware parameters. With randomly generated mouse swipe and click intervals, the operation behavior is no different from that of real people, and the ban rate is extremely low.

Data privacy guarantees

Your account cookies, browsing history, and operation logs run completely locally and are not uploaded to any cloud server. You have absolute control over your data and are safe.

Seamless AI ecosystem integration

Designed for the AI Native era. Perfectly support cutting-edge MCP clients like Claude Desktop, Cursor, and more, seamlessly integrate browser automation capabilities into your AI workflows and experience a true agentic workflow.

Frequently Asked Questions about TikTok Auto-View Likes (MCP RPA).

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How is this different from traditional key sprites or Selenium scripts?

Traditional scripts are mechanical, fixed, easy to detect, and difficult to maintain. This tool is based on LLM (Large Language Model) to understand intent, making it more flexible and intelligent to operate, and has DICloak's native anti-correlation capabilities.

How safe is it to use the tool? Will it be judged as a robot?

Extremely secure. We incorporate DICloak's industry-leading fingerprint obfuscation technology and introduce randomized mouse trajectory simulation to make the operation behavior appear entirely generated by real users.

Is it possible to customize the browsing duration and like strategy?

Yes. Because it's based on Prompt control, you can define policies as you like. For example, you can ask for "30 minutes of viewing" or "only likes videos with more than 10k likes," and the AI will do its best to understand and implement your specific request.

What AI clients are supported?

Editors that support the MCP protocol are currently perfectly supported, such as Claude Desktop and Cursor. With the support of MCP from vendors such as OpenAI, more clients such as ChatGPT Desktop will also be supported in the future.

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