Kaggle Market Intelligence Connector for AI agents.
10 live capabilities
Identify high-intent data science leads and trending ML communities.
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Why people use Kaggle Market Intelligence
Kaggle Market Intelligence for Data Science Lead Generation
With this Connector, your agent does the digging for you. It scans for specific technical hurdles and brings you a list of active discussions where people are asking for solutions. You get to skip the manual searching and go straight to the high-intent conversations.
What Vinkius changes
You get a real-time window into data science trends without manual searching.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Finding High-Intent Leads
A growth lead wants to find people struggling with data cleaning.
- Real-world use case 02
Organic Community Engagement
A developer advocate finds a discussion about a specific library.
- Real-world use case 03
Market Trend Analysis
A founder wants to see what's trending.
Complete set · 10capabilities
The complete Kaggle Market Intelligence capability set.
These are the exact actions your AI can choose when you ask it to work with Kaggle Market Intelligence.
01—04
4 capabilities in this set.
Part of 10 available through Kaggle Market Intelligence.
- 01 Capability
Create dataset
Share your own processed or synthesized data with the Kaggle community. This lets you contribute back to the ecosystem.
- 02 Capability
Get competition leaderboard
Check winning scores and competitor rankings in specific competitions. This provides a clear view of the current standings.
- 03 Capability
Get notebook status
Check if a Kaggle notebook is still running or finished. This lets you track execution progress without manual refreshes.
- 04 Capability
List dataset files
See the file structure of a Kaggle dataset. This helps you understand the data schema before you start your analysis.
05—07
3 capabilities in this set.
Part of 10 available through Kaggle Market Intelligence.
- 05 Capability
Push notebook
Share your own scripts or analysis directly to the Kaggle platform. This helps you engage the community with your own work.
- 06 Capability
Search competitions
Find active competitions where highly engaged data scientists are active. Use this to find communities of high-intent users.
- 07 Capability
Search datasets
Search for specific datasets to find new communities or data points. This helps you find interesting data for your research.
08—10
3 capabilities in this set.
Part of 10 available through Kaggle Market Intelligence.
- 08 Capability
Search models
Find different architectures and the creators who deployed them. This helps you see what models are gaining traction.
- 09 Capability
Search notebooks
Find code examples or winning strategies from other Kaggle users. Use this to find data exploration and code samples.
- 10 Capability
Pull notebook
Read the code from a Kaggle notebook to learn a developer's strategy. It is a fast way to see how others solve problems.
Set up in minutes
One URL. Then ask Kaggle Market Intelligence to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Kaggle Market Intelligence 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_D9qB4MVerPWx9BW5Z9tgoSaKlq533NU0W3PDjMbm/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 Kaggle Market Intelligence, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Kaggle Market Intelligence for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_D9qB4MVerPWx9BW5Z9tgoSaKlq533NU0W3PDjMbm/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 Kaggle Market Intelligence URL.
- Step 03
Save and start
Save the connection and enable Kaggle Market Intelligence in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"kaggle-market-intelligence": {
"url": "https://edge.vinkius.com/vk_preview_D9qB4MVerPWx9BW5Z9tgoSaKlq533NU0W3PDjMbm/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 Kaggle Market Intelligence
Open Agent mode in chat and ask: "Using Kaggle Market Intelligence, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"kaggle-market-intelligence": {
"url": "https://edge.vinkius.com/vk_preview_D9qB4MVerPWx9BW5Z9tgoSaKlq533NU0W3PDjMbm/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 Kaggle Market Intelligence
Ask Copilot: "Using Kaggle Market Intelligence, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"kaggle-market-intelligence": {
"url": "https://edge.vinkius.com/vk_preview_D9qB4MVerPWx9BW5Z9tgoSaKlq533NU0W3PDjMbm/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 Kaggle Market Intelligence
Open Cascade and ask: "Using Kaggle Market Intelligence, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"kaggle-market-intelligence": {
"url": "https://edge.vinkius.com/vk_preview_D9qB4MVerPWx9BW5Z9tgoSaKlq533NU0W3PDjMbm/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 Kaggle Market Intelligence
Ask Cline: "Using Kaggle Market Intelligence, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add kaggle-market-intelligence --transport http "https://edge.vinkius.com/vk_preview_D9qB4MVerPWx9BW5Z9tgoSaKlq533NU0W3PDjMbm/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 Kaggle Market Intelligence
Ask Claude: "Using Kaggle Market Intelligence, show me...". 10 tools are ready
Where the request belongs
Work Kaggle can move forward.
This is for growth leads who need to find high-intent users struggling with ML deployment, or developer advocates trying to spot where their tech stack is being discussed in the wild.
Growth Lead
Identifies users asking how to deploy or fix issues in ML models and suggests your infrastructure organically.
Developer Advocate
Finds discussions related to your specific data stack and engages with the community naturally.
Sales Engineer
Performs rapid audits of trending datasets and uncovers community pain points to generate leads.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Hugging Face Discussions
Transform the world's largest ML hub into your growth engine. Deploy autonomous agents to intercept trending discussions and engage the AI elite in real-time.
Nyckel ML
Classify data and perform semantic search via Nyckel. track ML functions, samples, and labels directly from your AI agent.
H2O.ai
Manage AI models via H2O.ai. track data frames, monitor machine learning models and training jobs, and audit cloud cluster status directly from any AI agent.
MindsDB (AI Database & Predictors)
Manage AI-powered data via MindsDB. execute SQL predictions, audit ML models, and connect data sources.
Bring your own AI
Change the model, client or framework. Keep Kaggle 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 -
JetBrains -
Warp -
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 Kaggle.
The practical details behind the request, access and result.
Can Kaggle Market Intelligence find people asking for help?
Yes, it scans for specific technical keywords like 'error' or 'missing' to identify users who are struggling with their data or models. This helps you find high-intent leads in real-time.
How does Kaggle Market Intelligence help with growth?
It automates the reconnaissance phase of growth hacking. Your agent can identify trending competitions and active discussions, allowing you to engage with the community where they are most active.
Can I use Kaggle Market Intelligence to see competitor scores?
Yes, the capability can pull competition leaderboards so you can see winning scores and see how other participants are performing in your niche.
Does Kaggle Market Intelligence work with Cursor or Claude?
Yes, it works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code, giving your agent the ability to interact with Kaggle data.
How do I get my API token for Kaggle Market Intelligence?
You can generate your API token through your Kaggle account settings. Once you have your username and key, you can provide them to your agent to start monitoring.
Can Kaggle Market Intelligence help me find trending datasets?
Yes, it can search for specific datasets and models to help you stay on top of the latest trends and find new communities to engage with.
How do I find my Kaggle API Token?
Go to your Kaggle account settings. Scroll down to the API section and click 'Create New API Token'. This will download a kaggle.json file containing your username and key.
Can the agent post replies automatically?
Yes. Using the engagement capabilities, your agent can write and post Markdown replies directly into community discussions.
How does the dataset scanning work?
The capability iterates through recent discussions in specific datasets or competitions, filtering for exact keywords like 'alternative', 'error', or 'help'. It's highly efficient for finding interception points.
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Give your agent a direct line to Kaggle.
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