LinkedIn Carousel Parser Connector for AI agents.
4 live capabilities
Audit and optimize your LinkedIn PDF carousels for better mobile engagement.
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Why people use LinkedIn Carousel Parser
LinkedIn Document Carousel Parser for Social Media Content Audits
With this Connector, your AI agent handles the heavy lifting. You can feed it your raw text, and it will automatically break it down into slides, flag the ones that are too dense for mobile, and score your hooks. You get a clear, objective audit of your content's flow and readability in seconds.
What Vinkius changes
You get a data-driven audit of your carousel content to ensure it's optimized for high engagement.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Balancing a long educational carousel
A creator has a 10-slide PDF and wants to know if the content feels balanced.
- Real-world use case 02
Auditing client content for readability
A social media manager needs to check a client's carousel for mobile readability.
- Real-world use case 03
Testing engagement hooks
A marketer wants to see if their closing slides are actually compelling.
Complete set · 4capabilities
The complete LinkedIn Carousel Parser capability set.
These are the exact actions your AI can choose when you ask it to work with LinkedIn Carousel Parser.
01—04
4 capabilities in this set.
Part of 4 available through LinkedIn Carousel Parser.
- 01 Capability
Analyze density
Identifies slides that exceed word or character limits. This helps you catch overcrowded pages before they go live.
- 02 Capability
Evaluate rhythm
Assesses the consistency of content length across slides. It helps maintain a steady visual flow for the reader.
- 03 Capability
Extract slides
Returns an array of slides from a raw text stream. This allows your agent to organize your content into a structured format.
- 04 Capability
Detect hooks
Quantifies engagement-driving language at the end of slides. Use this to ensure your final slides actually encourage a swipe.
Set up in minutes
One URL. Then ask LinkedIn Carousel Parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LinkedIn Carousel Parser 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_wG4VugTvueeLmDkRdp6yeJ1EmDZlj9zGE5q9b7Gq/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 LinkedIn Carousel Parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable LinkedIn Carousel Parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_wG4VugTvueeLmDkRdp6yeJ1EmDZlj9zGE5q9b7Gq/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 LinkedIn Carousel Parser URL.
- Step 03
Save and start
Save the connection and enable LinkedIn Carousel Parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-document-carousel-parser": {
"url": "https://edge.vinkius.com/vk_preview_wG4VugTvueeLmDkRdp6yeJ1EmDZlj9zGE5q9b7Gq/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 LinkedIn Carousel Parser
Open Agent mode in chat and ask: "Using LinkedIn Carousel Parser, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-document-carousel-parser": {
"url": "https://edge.vinkius.com/vk_preview_wG4VugTvueeLmDkRdp6yeJ1EmDZlj9zGE5q9b7Gq/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 LinkedIn Carousel Parser
Ask Copilot: "Using LinkedIn Carousel Parser, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-document-carousel-parser": {
"url": "https://edge.vinkius.com/vk_preview_wG4VugTvueeLmDkRdp6yeJ1EmDZlj9zGE5q9b7Gq/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 LinkedIn Carousel Parser
Open Cascade and ask: "Using LinkedIn Carousel Parser, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-document-carousel-parser": {
"url": "https://edge.vinkius.com/vk_preview_wG4VugTvueeLmDkRdp6yeJ1EmDZlj9zGE5q9b7Gq/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 LinkedIn Carousel Parser
Ask Cline: "Using LinkedIn Carousel Parser, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add linkedin-document-carousel-parser --transport http "https://edge.vinkius.com/vk_preview_wG4VugTvueeLmDkRdp6yeJ1EmDZlj9zGE5q9b7Gq/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 LinkedIn Carousel Parser
Ask Claude: "Using LinkedIn Carousel Parser, show me...". 4 tools are ready
Where the request belongs
Work LinkedIn Carousel Parser can move forward.
This is for content creators and social media managers who are tired of guessing if their carousels are readable. It's for the person who wants to stop their audience from scrolling past 'walls of text' and start getting more engagement on their LinkedIn PDFs.
Content Creator
Uses the capability on Tuesday afternoons to check if their new educational carousel feels balanced before they spend time on the final design.
Social Media Manager
Audits multiple client carousels to ensure they meet readability standards and have strong enough hooks to drive clicks.
Marketing Agency Owner
Uses the capability to provide a standardized quality check for all outgoing social media content to maintain brand consistency.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Analyze LinkedIn post hooks for visibility, truncation, and engagement potential.
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Audit LinkedIn posts for truncation, hook strength, and engagement triggers.
LinkedIn Broetry Structure Validator
Analyze LinkedIn posts for adherence to the 'broetry' writing style using structural metrics.
LinkedIn Engagement Scorer
Quantify the effectiveness of LinkedIn post Call-to-Actions (CT0As) and engagement triggers in text.
Bring your own AI
Change the model, client or framework. Keep LinkedIn Carousel Parser connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
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Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about LinkedIn Carousel Parser.
The practical details behind the request, access and result.
How does the LinkedIn Document Carousel Parser help my social media reach?
It helps by ensuring your content is actually readable on mobile. By identifying overcrowded slides and checking your hooks, it helps you create carousels that people will actually finish swiping through.
Can I use the LinkedIn Document Carousel Parser to find out if my slides are too long?
Yes, that's one of its core functions. It analyzes the density of your text and flags any slides that exceed character limits for optimal mobile viewing.
Will the LinkedIn Document Carousel Parser rewrite my content for me?
No, it doesn't rewrite the content. It provides an audit of your existing text, identifying specific areas that need to be shortened, balanced, or improved for better engagement.
What is a 'visual rhythm' in the context of LinkedIn carousels?
It refers to the consistency of content length across your slides. The capability checks this to make sure your audience has a smooth, predictable reading experience as they swipe.
Can the LinkedIn Document Carousel Parser help me write better hooks?
It helps by quantifying the strength of your hooks. It can identify whether your closing language is compelling enough to drive engagement or if it's too generic.
Do I need to provide images to use the LinkedIn Document Carousel Parser?
No, this capability focuses on the text and structure. You provide the raw text stream, and it analyzes the content flow and density for you.
How do I use the `extract_slides` capability?
Provide your carousel text as a single string. The capability looks for markers like [Slide 1] or --- to identify where each slide begins.
What defines a 'congested' slide?
A slide is considered congested if it exceeds the character limit (300 characters) but stays within the word count limit.
Can this capability help improve my LinkedIn engagement?
Yes. By using detect_hooks, you can identify if your slides end with compelling cliffhangers that encourage users to swipe through the entire deck.
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Give your agent a direct line to LinkedIn Carousel Parser.
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