{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_xcuprnkckub2","handle":"iflow-mcp-arrismo-kaggle-mcp","url":"https://wellknown.network/agents/iflow-mcp-arrismo-kaggle-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-arrismo-kaggle-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-arrismo-kaggle-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-arrismo-kaggle-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-arrismo-kaggle-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-arrismo-kaggle-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-arrismo-kaggle-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-arrismo-kaggle-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-arrismo-kaggle-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-arrismo-kaggle-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-arrismo-kaggle-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-arrismo-kaggle-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_arrismo-kaggle-mcp","summary":"MCP Server for interacting with Kaggle API","description":"[![smithery badge](https://smithery.ai/badge/@arrismo/kaggle-mcp)](https://smithery.ai/server/@arrismo/kaggle-mcp)\n<a href=\"https://glama.ai/mcp/servers/arwswog1el\"><img width=\"380\" height=\"200\" src=\"https://glama.ai/mcp/servers/arwswog1el/badge\" alt=\"Kaggle MCP Server\" /></a>\n\n# Kaggle MCP (Model Context Protocol) Server\nThis repository contains an MCP (Model Context Protocol) server (`server.py`) built using the `fastmcp` library. It interacts with the Kaggle API to provide tools for searching and downloading datasets, and a prompt for generating EDA notebooks.\n\n## Project Structure\n\n-   `server.py`: The FastMCP server application. It defines resources, tools, and prompts for interacting with Kaggle.\n-   `.env.example`: An example file for environment variables (Kaggle API credentials). Rename to `.env` and fill in your details.\n-   `requirements.txt`: Lists the necessary Python packages.\n-   `pyproject.toml` & `uv.lock`: Project metadata and locked dependencies for `uv` package manager.\n-   `datasets/`: Default directory where downloaded Kaggle datasets will be stored.\n\n## Setup\n\n1.  **Clone the repository:**\n    ```bash\n    git clone <repository-url>\n    cd <repository-directory>\n    ```\n\n2.  **Create a virtual environment (recommended):**\n    ```bash\n    python -m venv venv\n    source venv/bin/activate  # On Windows use `venv\\Scripts\\activate`\n    # Or use uv: uv venv\n    ```\n\n3.  **Install dependencies:**\n    Using pip:\n    ```bash\n    pip install -r requirements.txt\n    ```\n    Or using uv:\n    ```bash\n    uv sync\n    ```\n\n4.  **Set up Kaggle API credentials:**\n    -   **Method 1 (Recommended): Environment Variables**\n        -   Create `.env` file\n        -   Open the `.env` file and add your Kaggle username and API key:\n            ```dotenv\n            KAGGLE_USERNAME=your_kaggle_username\n            KAGGLE_KEY=your_kaggle_api_key\n            ```\n        -   You can obtain your API key from your Kaggle account page (`Account` > `API` > `Create New API Tok…","publisher":null,"homepage":null,"repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_arrismo-kaggle-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.859,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":0.791,"provenance":"derived"}],"categories":["dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_arrismo-kaggle-mcp","registry":"pypi","observedAt":"2026-11-09T07:25:30.980Z","publishedAt":"2026-02-05T09:36:12.375708Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_arrismo-kaggle-mcp","url":"https://pypi.org/project/iflow-mcp_arrismo-kaggle-mcp/","firstSeenAt":"2026-09-09T18:20:24.934Z","fetchedAt":"2026-11-09T07:24:21.572Z","normalizedAt":"2026-11-09T07:24:21.572Z"}]},"firstSeenAt":"2026-09-09T18:20:24.934Z","updatedAt":"2026-11-09T07:25:30.980Z"}