# How to connect Kaggle MCP with VS Code ```json { "title": "How to connect Kaggle MCP with VS Code", "toolkit": "Kaggle", "toolkit_slug": "kaggle", "framework": "VS Code", "framework_slug": "vscode", "url": "https://composio.dev/toolkits/kaggle/framework/vscode", "markdown_url": "https://composio.dev/toolkits/kaggle/framework/vscode.md", "updated_at": "2026-05-06T08:17:26.227Z" } ``` ## Introduction ### How to connect Kaggle MCP with VS Code VS Code is the most popular code editor out there. With its recent AI makeover, it can do more than just help you write code. You can connect your applications to it and let LLMs automate many of the mundane tasks in your workflow. In this guide, I will explain how to connect Kaggle with VS Code in the most secure and robust way possible via Composio. ## Also integrate Kaggle with - [ChatGPT](https://composio.dev/toolkits/kaggle/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/kaggle/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/kaggle/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/kaggle/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/kaggle/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/kaggle/framework/codex) - [Cursor](https://composio.dev/toolkits/kaggle/framework/cursor) - [OpenCode](https://composio.dev/toolkits/kaggle/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/kaggle/framework/openclaw) - [Hermes](https://composio.dev/toolkits/kaggle/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/kaggle/framework/cli) - [Google ADK](https://composio.dev/toolkits/kaggle/framework/google-adk) - [LangChain](https://composio.dev/toolkits/kaggle/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/kaggle/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/kaggle/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/kaggle/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/kaggle/framework/crew-ai) ## TL;DR ### Why use Composio? Composio provides: - Access to 1,000+ managed apps from a single MCP endpoint. This makes it convenient for agents to run cross-app workflows. - Programmatic tool calling. Allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling. - Large tool response handling outside the LLM context. This minimizes context bloat from large tool responses. - Dynamic just-in-time access to thousands of tools across hundreds of apps. Composio loads the tools your agent needs, so LLMs are not overwhelmed by tools they do not need. ## Connect Kaggle to VS Code ### Integrate Kaggle MCP with VS Code ### 1. Install with one click Click the button below to add Composio to VS Code. You will be prompted to authorize. This requires VS Code 1.99+ with GitHub Copilot. [+Install in VS Code](vscode:mcp/install?%7B%22name%22%3A%22composio%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fconnect.composio.dev%2Fmcp%22%7D) ### 2. Or add manually Open or create .vscode/mcp.json in your project root and add the following configuration: ```bash { "servers": { "composio": { "type": "http", "url": "https://connect.composio.dev/mcp" } } } ``` ## What is the Kaggle MCP server, and what's possible with it? The Kaggle MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Kaggle account. It provides structured and secure access to your Kaggle datasets, competitions, and configurations, so your agent can perform actions like downloading competition data, creating datasets, submitting entries, and managing dataset versions on your behalf. - Competition data access and download: Let your agent fetch and download competition datasets quickly by specifying a competition ID, so you always have the latest files for analysis. - Automated dataset creation and management: Have your agent create new Kaggle datasets, update metadata, and publish new dataset versions seamlessly, streamlining the process of sharing your work with the community. - Competition entry submission: Empower your agent to submit competition entries automatically once your solution is ready and uploaded, helping you participate in challenges without manual hassle. - Configuration management and setup: Allow your agent to initialize, locate, and update Kaggle API configuration files and keys, ensuring smooth and authenticated operations every time. - Dataset status monitoring: Ask your agent to check the status of uploaded datasets or processing jobs, so you always know when your data is ready for use or public sharing. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `KAGGLE_COMPETITION_DOWNLOAD_FILES` | Download competition data files | Tool to download competition data files. Use after confirming the competition ID. | | `KAGGLE_CONFIG_INIT` | Initialize Kaggle Configuration | Tool to initialize Kaggle API client configuration. Attempts CLI first; if unavailable, it falls back to creating ~/.kaggle/kaggle.json (or $KAGGLE_CONFIG_DIR/kaggle.json). | | `KAGGLE_DATASET_CREATE` | Dataset Create | Tool to create a new Kaggle dataset with full metadata. Use after uploading files and finalizing metadata. Returns creation status and message. | | `KAGGLE_DATASET_STATUS` | Get Dataset Status | Tool to get the status of a dataset upload or processing job. Use after uploading a dataset to check processing state. | | `KAGGLE_DATASET_VERSION` | Create Dataset Version | Tool to create a new dataset version on Kaggle. Use when you have updated files or metadata and need to publish a new version of an existing dataset. | | `KAGGLE_KAGGLE_COMPETITION_SUBMIT` | Submit Competition Entry | Tool to submit an entry to a Kaggle competition. Use when you have already uploaded your file and obtained its blob token. | | `KAGGLE_KAGGLE_CONFIG_DIR` | Get Kaggle Config Directory | Tool to retrieve the directory of the Kaggle API configuration file. Use when you need to locate the directory containing your kaggle.json credentials. | | `KAGGLE_KAGGLE_CONFIG_FILE` | Get Kaggle Config File | Tool to retrieve the filename of the Kaggle API configuration file. Use when you need to find out where the local Kaggle config file is stored before reading or updating. | | `KAGGLE_KAGGLE_CONFIG_KEYS` | List Kaggle Configuration Keys | Tool to list local Kaggle API configuration keys. Use when you need to see which configuration options are set without revealing values. | | `KAGGLE_KAGGLE_CONFIG_PATH` | Get Kaggle Config Path | Tool to retrieve local Kaggle API configuration file path. Use when you need to know the location of the Kaggle config before operations. | | `KAGGLE_KAGGLE_CONFIG_RESET` | Reset Kaggle Configuration | Tool to reset local Kaggle CLI configuration to defaults. Clears CLI-managed keys ('competition', 'path', 'proxy'). | | `KAGGLE_KAGGLE_CONFIG_SET` | Set Kaggle Configuration | Tool to set a Kaggle CLI configuration parameter. Use when updating local CLI settings such as default download path or proxy. Ensure Kaggle CLI is installed. | | `KAGGLE_KAGGLE_CONFIG_UNSET` | Unset Kaggle Configuration | Tool to unset a Kaggle CLI configuration parameter. Use when removing local CLI settings such as default download path or proxy. Ensure Kaggle CLI is installed. | | `KAGGLE_KAGGLE_CONFIG_VIEW` | View Kaggle Configuration | Tool to view local Kaggle API configuration. Use when you need to confirm credentials before API calls. | | `KAGGLE_KAGGLE_DATASET_INIT` | Kaggle Dataset Init | Tool to initialize a dataset-metadata.json file in a local folder. Use when preparing a dataset folder before uploading to Kaggle. | | `KAGGLE_KAGGLE_DATASET_LIST_FILES` | List Kaggle Dataset Files | Tool to list files in a Kaggle dataset. Use when you need to retrieve paginated file listings by owner and dataset slugs, with optional version and paging controls. | | `KAGGLE_KAGGLE_KERNEL_INIT` | Kaggle Kernel Init | Tool to initialize a kernel-metadata.json file in a local folder. Use when preparing a kernel folder before pushing to Kaggle. | | `KAGGLE_KAGGLE_KERNEL_OUTPUT` | Download kernel output | Tool to download the output of a Kaggle kernel. Use when needing the latest kernel results locally. | | `KAGGLE_KERNELS_STATUS` | Get Kernel Status | Tool to get the status of a Kaggle kernel run. Use after submitting a kernel to monitor its execution state. | | `KAGGLE_LIST_DATASETS` | List Kaggle Datasets | Tool to list Kaggle datasets with filters and pagination. Use after authenticating with Kaggle API key. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK Once connected, VS Code can access the Kaggle MCP server via Composio to run the app actions you authorize, directly from your coding workflow. ## Complete Code None listed. ## Conclusion ### Way Forward Now that Kaggle is connected, extend your setup by connecting the other apps you already use every day, so your agent can run true cross-app workflows end to end. - Connect Calendar to turn threads into scheduled meetings automatically. - Connect Slack or Teams to post summaries, approvals, and alerts where your team works. - Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs. - Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps. - Connect HubSpot or Salesforce to log customer context, update records, and draft follow-ups. Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single MCP endpoint, your agent can coordinate multiple tools safely and reliably in one conversation. ## How to build Kaggle MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/kaggle/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/kaggle/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/kaggle/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/kaggle/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/kaggle/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/kaggle/framework/codex) - [Cursor](https://composio.dev/toolkits/kaggle/framework/cursor) - [OpenCode](https://composio.dev/toolkits/kaggle/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/kaggle/framework/openclaw) - [Hermes](https://composio.dev/toolkits/kaggle/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/kaggle/framework/cli) - [Google ADK](https://composio.dev/toolkits/kaggle/framework/google-adk) - [LangChain](https://composio.dev/toolkits/kaggle/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/kaggle/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/kaggle/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/kaggle/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/kaggle/framework/crew-ai) ## Related Toolkits - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service. - [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows. - [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow. - [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows. - [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application. - [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities. - [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization. - [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications. - [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations. - [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key. - [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient. - [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions. - [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences. - [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement. - [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team. - [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs. - [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code. - [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets. - [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Kaggle MCP? With a standalone Kaggle MCP server, the agents and LLMs can only access a fixed set of Kaggle tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Kaggle and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with VS Code? Yes, you can. VS Code fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Kaggle tools. ### Can I manage the permissions and scopes for Kaggle while using Tool Router? Yes, absolutely. You can configure which Kaggle scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Kaggle data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)