Databases &amp; Warehouses integrations for AI agents

Use Airtable as a living operational database for your AI agents. 2 record triggers kick off workflows when data changes. 17 actions cover full CRUD across bases, tables, records, and comments.

2 triggers 17 actions

Amazon DynamoDB

Read, write, query, and scan Amazon DynamoDB tables from automated flows. Agents persist workflow data, run PartiQL statements, and batch-load items with values returned as plain JSON.

10 actions

Amazon Redshift

Run SQL against an Amazon Redshift cluster or serverless workgroup through the Data API, no persistent connection required. Agents execute statements and batches asynchronously, poll for completion, fetch typed result rows, and explore databases, schemas, and table columns.

10 actions

Azure Cosmos DB

Connect AI agents to Azure Cosmos DB through the Core (SQL) API. Agents manage databases and containers and create, read, query, replace, upsert, and delete documents.

Azure Table Storage

Connect AI agents to Azure Table Storage, the NoSQL key/attribute store in Azure Storage. Agents manage tables and entities keyed by PartitionKey and RowKey with OData filter queries.

12 actions

Baserow

Connect AI agents to Baserow, the open-source no-code database. Agents read and write rows and manage databases, tables, and fields on Baserow Cloud or a self-hosted instance.

Caspio

Read and write data in your Caspio online database. Agents list tables and views, query records with filters, and insert, update, or delete rows to keep Caspio-built applications in sync with the rest of your stack.

8 actions

CrateDB

Connect AI agents to CrateDB over its SQL-over-HTTP endpoint. Agents run parameterized SQL and high-throughput batched writes against distributed time-series and IoT data.

2 actions

Databricks

Connect AI agents to the Databricks REST API. Agents run SQL on a warehouse, orchestrate jobs, manage clusters, browse Unity Catalog, and inspect DBFS and workspace paths.

24 actions

Elasticsearch

Connect AI agents to Elasticsearch and Elastic Cloud. Agents index and search documents with full Query DSL, run bulk NDJSON operations, update or delete by query, and manage indices.

18 actions

FileMaker

Connect AI agents to a FileMaker Server or FileMaker Cloud database through the Data API. Agents read, create, edit, find, and delete records, run scripts, and inspect layout metadata.

13 actions

Google BigQuery

Connect AI agents to Google BigQuery. Agents run GoogleSQL with named parameters, stream rows into tables, read table data without query cost, and manage datasets and tables.

11 actions

Google Firestore

Connect AI agents to Cloud Firestore. Agents create, read, update, delete, list, query, and aggregate documents with plain JSON in and plain JSON out.

Grist

Connect AI agents to Grist, the relational spreadsheet. Agents run record CRUD including upsert, manage tables and columns, discover documents, and run read-only SQL queries.

Keboola

Operate a Keboola data project from your flows. Agents manage Storage buckets and tables, preview and import CSV data with full or incremental loads, create component configurations, and trigger jobs and orchestrations while polling their status.

Kintone

Treat Kintone apps as a live database for your agents. They query records with conditions and pagination, create or update up to 100 records at once, post comments with mentions to record timelines, and read app schemas to build valid payloads dynamically.

10 actions

Knack

Read and write Knack no-code databases from your flows. Agents discover objects and field keys, filter records to drive downstream automation, and create, update, and delete records via the Knack REST API.

7 actions

Lark Base

Use Lark Base tables as agent-writable databases. Agents list and create tables, discover fields, and create, update, delete, and search records with structured filters, ideal for syncing form submissions and app data into ByteDance's Lark suite.

Microsoft SQL Server

Connect AI agents to Microsoft SQL Server and Azure SQL Database. Agents run parameterized T-SQL, do CRUD without SQL, inspect schemas, and bulk-load rows as steps in a flow.

MongoDB

Connect AI agents to MongoDB and MongoDB Atlas. Agents run the full document lifecycle, aggregation pipelines, collection and index management, and Atlas vector search.

22 actions

MySQL

Connect AI agents to MySQL and MySQL-compatible servers such as MariaDB, PlanetScale, and Aurora. Agents run parameterized SQL, do CRUD without SQL, inspect schemas, and bulk-load rows.

Ninox

Read and write your Ninox low-code databases: agents browse teams, databases, and tables, list and filter records, create or update them in bulk, and run Ninox script queries to aggregate data across tables.

8 actions

NocoDB

Connect AI agents to NocoDB, the open-source no-code database. Agents read and write table records, manage linked records, provision tables, and inspect base and view metadata.

Oracle Database

Connect AI agents to Oracle Database in Thin mode (no Instant Client). Agents run SQL and PL/SQL, do CRUD without SQL, and inspect schemas as governed steps in a flow.

PostgreSQL

Connect AI agents to PostgreSQL. Agents run parameterized SQL, read and write rows without SQL, inspect schemas, and bulk-load records as governed steps in a flow.

QuestDB

Connect AI agents to QuestDB, the high-performance time-series SQL database. Agents run queries and DDL/DML over the REST API, export result sets as CSV, and validate connectivity.

3 actions

Quick Base

Connect AI agents to Quick Base through the JSON REST API. Agents query, insert, update, and delete records, manage tables and fields, run reports, and download file attachments.

16 actions

Redis

Connect AI agents to Redis. Agents cache values with TTL, maintain atomic counters and locks, work with hashes, lists, sets and sorted sets, publish messages, and read server stats.

26 actions

SeaTable

Connect AI agents to a SeaTable base. Agents read, append, and update rows in bulk, run read-only SQL over base data, maintain row links, and discover table and column names.

13 actions

Snowflake

Connect AI agents to Snowflake through the SQL API v2. Agents run parameterized SQL, load results into tables, poll long-running statements, and discover databases, schemas, and tables.

8 actions

Stackby

Connect AI agents to Stackby, the spreadsheet-database. Agents create, read, update, and delete rows in a Stack table as governed steps in a flow.

5 actions

Supabase

Real-time database operations and event triggers for Supabase. Agents react to record creation, updates, and deletion. Full CRUD with PostgREST filter support and dynamic table discovery.

3 triggers 4 actions

TimescaleDB

Connect AI agents to TimescaleDB, the time-series database built on PostgreSQL. Agents run SQL, do CRUD without SQL, manage hypertables, run time_bucket rollups, and enforce chunk retention.

17 actions

Xata