AI Data Bridge: Multi-Database Connector
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AI Data Bridge: Multi-Database Connector
Stop juggling 7 different database tools. AI DataBridge connects PostgreSQL, MySQL, MongoDB, Airtable, Notion, and Google Sheets through a single MCP interface. Ask questions in plain English—get answers from any database instantly. AI database connector, multi-database integration
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mr beast
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AI DataBridge - Multi-Database Connector
One unified interface to query ALL your data sources with natural language.
Stop juggling 7 different database tools. AI DataBridge connects PostgreSQL, MySQL, MongoDB, Airtable, Notion, and Google Sheets through a single MCP interface. Ask questions in plain English—get answers from any database instantly.
The Problem
Your data lives everywhere:
- Customer records in PostgreSQL
- Analytics in Google Sheets
- CRM data in Airtable
- Project tracking in Notion
- User sessions in MongoDB
Before AI DataBridge: Switch between 5+ tools, write different query languages, manually combine results.
After AI DataBridge: "Show me customers from Postgres who haven't been contacted in Airtable" → Done.
Key Features
Multi-Database Connectivity
| Database | Status | Query Type |
|---|---|---|
| PostgreSQL | ✅ Full Support | SQL |
| MySQL | ✅ Full Support | SQL |
| SQLite | ✅ Full Support | SQL |
| MongoDB | ✅ Full Support | JSON Filter |
| Airtable | ✅ Full Support | API-based |
| Notion | ✅ Full Support | API-based |
| Google Sheets | ✅ Full Support | Range-based |
Natural Language Queries
Ask questions in plain English. The AI translates to the right query syntax automatically.
Examples:
- "Get all orders over $100 from last week"
- "Show me active customers who signed up in January"
- "Find products with less than 10 items in stock"
- "List all tasks marked as urgent in Notion"
Schema Discovery
Automatically detect tables, columns, and data types. No manual configuration needed.
Unified Output Format
Every query returns the same JSON structure, regardless of source. Perfect for AI agents and downstream processing.
Quick Start
1. Query PostgreSQL
{"operation": "query","dataSource": "postgresql","connectionString": "postgresql://user:pass@host:5432/mydb","sqlQuery": "SELECT * FROM customers WHERE status = 'active'"}
2. Natural Language Query
{"operation": "natural_language_query","dataSource": "postgresql","connectionString": "postgresql://user:pass@host:5432/mydb","naturalLanguageQuery": "Show me all orders over $100 from last month","aiApiKey": "your-openrouter-key"}
3. Query Airtable
{"operation": "query","dataSource": "airtable","airtableApiKey": "pat...","airtableBaseId": "appXXXXXXXXXXXXXX","airtableTableName": "Customers"}
4. Query Notion Database
{"operation": "query","dataSource": "notion","notionToken": "ntn_...","notionDatabaseId": "your-database-id"}
5. Query Google Sheets
{"operation": "query","dataSource": "google_sheets","googleSheetsCredentials": "{...service account JSON...}","googleSpreadsheetId": "1ABC...","googleSheetName": "Sheet1"}
Who Uses AI DataBridge?
AI Agent Developers
Connect Claude, GPT, or custom agents to any database through MCP. No database-specific code needed.
Data Analysts
Query multiple sources with one tool. Export unified JSON for BI dashboards.
Startup Teams
Your data is scattered across free tools (Sheets, Notion, Airtable). Now query it all professionally.
Automation Engineers
Build n8n/Make/Zapier workflows that pull from any database with consistent output.
Operations
query
Execute a direct query on the specified data source.
natural_language_query
Ask your question in plain English. AI generates and executes the appropriate query.
describe_schema
Get table names, column definitions, and row counts for any data source.
test_connection
Verify that your credentials and connection string are valid.
list_sources
List all supported data source types.
Output Format
All queries return data in a unified format:
{"_source": "postgresql","_table": "customers","_id": "123","_queriedAt": "2026-01-12T10:30:00Z","name": "John Doe","email": "john@example.com","status": "active"}
Summary (Key-Value Store):
{"success": true,"source": "postgresql","table": "customers","rowCount": 150,"executionTimeMs": 45}
MCP Integration
With Apify MCP Server
Add to your mcp.json:
{"mcpServers": {"apify": {"url": "https://mcp.apify.com"}}}
Then use this Actor through Apify's MCP tools.
Direct API Usage
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('the.beast/ai-data-bridge').call({operation: 'query',dataSource: 'postgresql',connectionString: 'postgresql://...',sqlQuery: 'SELECT * FROM users LIMIT 10'});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
Pricing
Pay Per Event - Only pay for what you query.
| Event | Price | Description |
|---|---|---|
| Actor Start | $0.0001 | Per run initialization |
| Query Result | $0.0001 | Per row/record returned |
| Schema Describe | $0.001 | Per schema inspection |
| AI Query Generation | $0.002 | Per natural language translation |
Example Costs
| Use Case | Estimated Cost |
|---|---|
| Query 100 rows from PostgreSQL | ~$0.01 |
| Daily Airtable sync (500 records) | ~$0.05 |
| Natural language query + 50 results | ~$0.01 |
| Schema discovery for 10 tables | ~$0.01 |
Security
- Connection strings are encrypted and marked as secrets
- Read-only by default - Only SELECT queries for SQL databases
- No data storage - Data flows through, never persisted on Apify
- SSL/TLS - All database connections use encryption when available
Comparison with Alternatives
| Feature | AI DataBridge | Database MCP Server | Individual Connectors |
|---|---|---|---|
| PostgreSQL | ✅ | ✅ | ✅ |
| MySQL | ✅ | ✅ | ✅ |
| MongoDB | ✅ | ❌ | Separate tool |
| Airtable | ✅ | ❌ | Separate tool |
| Notion | ✅ | ❌ | Separate tool |
| Google Sheets | ✅ | ❌ | Separate tool |
| Natural Language | ✅ | ❌ | ❌ |
| Unified Output | ✅ | ❌ | ❌ |
| Single Config | ✅ | ✅ | ❌ (5+ tools) |
Roadmap
v1.1 (Coming Soon)
- Cross-database JOINs ("Join Airtable customers with PostgreSQL orders")
- Supabase support
- Firebase/Firestore support
v1.2
- Query caching for repeated requests
- Scheduled queries with webhooks
- Write operations (INSERT/UPDATE)
Support
- Issues: GitHub Issues
- Docs: Apify Actor Page
- Contact: Open an issue for feature requests
Changelog
v1.0.0 (2026-01-12)
- Initial release
- PostgreSQL, MySQL, SQLite support with full SQL
- MongoDB support with JSON filter queries
- Airtable support with API-based queries
- Notion support with database queries
- Google Sheets support with range-based queries
- Natural language query processing via OpenRouter
- Schema discovery for all sources
- Unified JSON output format
License
MIT License - Use freely in personal and commercial projects.
Keywords: AI database connector, multi-database integration, natural language SQL, Airtable API, Notion API, Google Sheets API, PostgreSQL connector, MySQL connector, MongoDB connector, MCP server, Claude database, GPT database, AI data integration, unified data access, cross-platform data bridge, database query tool, AI-powered data retrieval, semantic data search, federated data querying