# Databox MCP for AI Agents AI Agent Connect > Databox lets you turn raw data into visual KPIs. This Connector connects your AI agent to your Databox account so you can manage datasets, push metrics, and monitor your analytics budget using plain English. Instead of jumping between tabs to check storage or manually updating records, your agent handles the heavy lifting of data orchestration and source management. ## Overview - **Category:** data-analytics - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_m5wxPLxA4DZzlEAGQvVBd7mHBeJdKwSaNPtHchcU/ai-agent-connect - **Tags:** kpi-tracking, data-visualization, real-time-dashboards, data-ingestion, performance-metrics, business-analytics ## Description Imagine you're trying to get a new marketing metric into your live dashboard. Usually, that means opening a browser, finding the right dataset, checking the schema, and then manually pushing data or updating a source. With this Connector, you just tell your agent to do it. It handles the heavy lifting of moving through your Databox account. You can ask it to list your current datasets, check your storage limits, or even push a batch of new records directly into an existing collection. It acts like a data engineer who lives inside your workspace. Instead of wrestling with API keys and complex JSON structures, you just describe the outcome you want. You'll find that having this level of control over your business intelligence workflows makes it much easier to keep your team focused on the actual numbers rather than the plumbing. By connecting through the Vinkius catalog, you get a direct line to your data without the friction of manual entry. It's about moving from "how do I get this data in?" to "what does this data tell us?" and letting the agent handle the first half of that equation. This means you stop spending your Tuesday afternoons copy-pasting rows from a spreadsheet into a web form. You can just ask your agent to take the raw output from a tool or a file and feed it straight into the right collection. It keeps your data fresh and your dashboards accurate without you having to lift a finger. ## Tools ### list_datasets List all the datasets in your account. This helps you find the right place to push data. ### create_data_source Create a new data source for your dashboard. This helps you add new integrations quickly. ### create_dataset Create a new dataset to hold your records. Use this to organize different types of data. ### delete_dataset Remove a dataset you no longer need. This keeps your workspace clean. ### get_dataset_details Get specific information about a dataset. Use this to check schemas or IDs. ### list_accounts See a list of all Databox accounts. This is great for managing multiple organizational profiles. ### list_data_sources See all the data sources for a specific account. Use this to audit your active feeds. ### list_dataset_metrics See the metrics inside a specific dataset. This helps you understand what data is already there. ### push_metrics_data Push new data records into a dataset. This is how you update your dashboards in real-time. ### validate_authentication Use this to verify credentials before performing other operations. Validate your Databox API key and check authentication status ## Prompt Examples **Prompt:** ``` How much storage do I have left in Databox? ``` **Response:** ``` ### Storage Usage You're currently using **42%** of your data storage quota. * **Remaining Space**: 58% * **Status**: Healthy You have plenty of room for the next month's imports. ``` **Prompt:** ``` Push the latest sales: 450 units, 2026-05-01. ``` **Response:** ``` ### Data Ingestion Successful I've pushed the following record into your **Daily Sales** dataset: | Metric | Value | Date | | :--- | :--- | :--- | | Sales Units | 450 | 2026-05-01 | Your dashboard is updating now. ``` **Prompt:** ``` List all my datasets and tell me which one has the most metrics. ``` **Response:** ``` ### Databox Datasets I found 3 datasets in your account: 1. **Daily Sales** (ID: ds_123) - 150 metrics 2. **User Engagement** (ID: ds_456) - 85 metrics 3. **API Logs** (ID: ds_789) - 12 metrics **Daily Sales** currently has the most metrics. ``` ## Capabilities ### Push new metrics Send raw data records directly into your Databox datasets to update your live dashboards. ### Manage datasets Create, list, and delete data collections to keep your workspace organized. ### Monitor storage Check your current data usage and API activity to stay within your analytics budget. ### Audit account sources View all connected integrations and accounts to ensure your data feeds are healthy. ### Verify user profiles Confirm authenticated credentials and system connectivity with a simple request. ## Use Cases ### Marketing Report Update A marketing manager asks the agent to push last week's lead counts into the 'Lead Gen' dataset using push_metrics_data. ### Storage Audit An ops lead asks the agent to check how much storage is left before starting a new data migration using get_storage_statistics. ### New Data Source Setup A data analyst asks the agent to list existing sources and create a new one for a new CRM integration using list_data_sources. ### Dataset Verification A user wants to see the metrics in a specific dataset to ensure the correct columns are being populated using list_dataset_metrics. ## Benefits - Real-time data ingestion: Use push_metrics_data to send records instantly, ensuring your dashboards are never out of date. - Automated dataset management: Create and delete datasets using create_dataset or delete_dataset to keep your workspace organized. - Proactive budget tracking: Monitor your API limits and storage with get_storage_statistics to avoid unexpected overages. - Faster data auditing: Use list_data_sources and list_accounts to quickly see every integration connected to your business. - Reduced manual entry: Stop copy-pasting data by letting your agent handle the ingestion through your natural language commands. ## How It Works The bottom line is you get a conversational interface for your entire Databox data pipeline. 1. Get your API Key (v1) from your Databox Account Settings. 2. Connect the Connector to your preferred AI client using the Vinkius dashboard. 3. Start giving commands like "push these sales figures to my daily report" or "check my storage left." ## Frequently Asked Questions **Can the Databox MCP push data to my dashboards?** Yes, it lets your agent send records directly into your datasets. This means you can update your live dashboards using natural language instead of manual uploads. **How do I check my Databox storage limits with an AI?** You can simply ask your agent to check your stats. It will retrieve your current usage and tell you how much storage you have left in your analytics budget. **Can I manage my Databox datasets using natural language?** Yes, you can create, list, and delete datasets through your AI client. This helps you keep your workspace organized without leaving your workspace. **Is there a way to see my Databox API logs?** Yes, the agent can retrieve your activity logs. This is useful for monitoring your usage and troubleshooting any connection issues. **Can I use this to connect new data sources?** Yes, you can list and create new sources through the agent. It helps you manage your data architecture and ensure your feeds are healthy. **Does this Connector help with KPI tracking?** Absolutely. It streamlines how you ingest and manage the data that feeds your KPIs, making it much faster to keep your team focused on the right metrics. **How do I find my Databox API Key?** Log in to your account, navigate to **Account Settings** > **API Tokens**, and copy your unique v1 API Key. **Can I create new datasets via AI?** Yes! Use the `create_dataset` tool. You'll need to specify a title, a source ID, and an array of primary keys for the table structure. **Does it support real-time data pushing?** The `push_metrics_data` tool allows for immediate ingestion of data records, making them available for visualization in Databox instantly.