Twitter Virality Scorer Connector for AI agents.
2 live capabilities
Predict social media engagement and Quote Tweet potential with linguistic analysis.
Waiting for input…
Why people use Twitter Virality Scorer
Twitter Virality and QT Bait Scorer for Social Media Strategy
This Connector changes that by looking at the actual linguistic markers that drive engagement. It gives you a hot-take index and a controversy quotient so you can see the structural potential of a post before you ever hit publish.
What Vinkius changes
You get a data-backed score on how likely your tweet is to actually get noticed.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Testing a spicy take
A social media manager wants to know if a controversial take is just right for engagement or too risky for the brand.
- Real-world use case 02
Balancing facts and opinions
A brand wants to test a hot take against a factual statement to see which one gets more traction from the audience.
- Real-world use case 03
Checking for repetitive writing
A content creator wants to see if their tweet structure is too repetitive for the algorithm to favor.
Complete set · 2capabilities
The complete Twitter Virality Scorer capability set.
These are the exact actions your AI can choose when you ask it to work with Twitter Virality Scorer.
01—02
2 capabilities in this set.
Part of 2 available through Twitter Virality Scorer.
- 01 Capability
Analyze qt bait
Evaluates how much your tweet is designed to provoke a Quote Tweet response. It helps you see if your content is actually meant to be debated.
- 02 Capability
Analyze virality
Measures punctuation and sentence variety to predict general engagement. It gives you a clear metric on the structural potential of your text.
Set up in minutes
One URL. Then ask Twitter Virality Scorer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Twitter Virality Scorer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_zI43iqN4rwVnRDGJn4SXhxomjNEdDs0LjqKHNYIw/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Twitter Virality Scorer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Twitter Virality Scorer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_zI43iqN4rwVnRDGJn4SXhxomjNEdDs0LjqKHNYIw/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Twitter Virality Scorer URL.
- Step 03
Save and start
Save the connection and enable Twitter Virality Scorer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"twitter-virality-and-qt-bait-scorer": {
"url": "https://edge.vinkius.com/vk_preview_zI43iqN4rwVnRDGJn4SXhxomjNEdDs0LjqKHNYIw/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Twitter Virality Scorer
Open Agent mode in chat and ask: "Using Twitter Virality Scorer, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"twitter-virality-and-qt-bait-scorer": {
"url": "https://edge.vinkius.com/vk_preview_zI43iqN4rwVnRDGJn4SXhxomjNEdDs0LjqKHNYIw/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Twitter Virality Scorer
Ask Copilot: "Using Twitter Virality Scorer, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"twitter-virality-and-qt-bait-scorer": {
"url": "https://edge.vinkius.com/vk_preview_zI43iqN4rwVnRDGJn4SXhxomjNEdDs0LjqKHNYIw/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Twitter Virality Scorer
Open Cascade and ask: "Using Twitter Virality Scorer, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"twitter-virality-and-qt-bait-scorer": {
"url": "https://edge.vinkius.com/vk_preview_zI43iqN4rwVnRDGJn4SXhxomjNEdDs0LjqKHNYIw/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Twitter Virality Scorer
Ask Cline: "Using Twitter Virality Scorer, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add twitter-virality-and-qt-bait-scorer --transport http "https://edge.vinkius.com/vk_preview_zI43iqN4rwVnRDGJn4SXhxomjNEdDs0LjqKHNYIw/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Twitter Virality Scorer
Ask Claude: "Using Twitter Virality Scorer, show me...". 2 tools are ready
Where the request belongs
Work Twitter Virality Scorer can move forward.
Social media managers who need to justify content choices to clients or content creators who want to stop guessing what works.
Social Media Manager
Analyzing a week's worth of drafts to see which ones have the highest chance of sparking a Quote Tweet.
Content Strategist
Developing a brand voice that balances hot takes with factual information without losing engagement.
Growth Marketer
Identifying the specific linguistic patterns that trigger high-engagement virality in competitive niches.
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Bring your own AI
Change the model, client or framework. Keep Twitter Virality Scorer connected.
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Before you connect
Questions about Twitter Virality Scorer.
The practical details behind the request, access and result.
How does Twitter Virality and QT Bait Scorer help my brand?
It helps you see if your posts are actually designed to get quoted or shared. By using linguistic analysis, you can ensure your content hits the right notes for engagement.
Can I use Twitter Virality and QT Bait Scorer to see if a tweet is hot?
Yes, it calculates a hot-take index to see how much of your content is opinion-driven compared to facts, helping you gauge its potential for discussion.
Does Twitter Virality and QT Bait Scorer analyze my live tweets?
No, it analyzes the text of your drafts to predict how they will perform. This allows you to optimize your content before you ever hit publish.
What is a Quote Tweet bait score?
It's a metric that shows how likely your tweet is to provoke people into quoting your content. It looks for specific linguistic markers of provocation.
How does Twitter Virality and QT Bait Scorer handle different types of content?
It looks at punctuation, sentence variety, and contrarian markers to judge different styles. This means it works for everything from dry news to spicy hot takes.
What metrics does the capability use to calculate virality?
The analyze_virality capability calculates scores based on punctuation diversity and sentence variety within the provided text.
How does it identify 'QT bait' for a tweet?
The analyze_qt_bait capability identifies patterns like contrarian density and provocation index to determine how likely a tweet is to trigger Quote Tweets.
Is this capability for sentiment analysis?
No, it is a deterministic engine that uses pattern matching to identify linguistic architectures associated with engagement-driving behavior.
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