# Airbyte

> Airbyte is the AI-native data movement and context platform. It moves data from 700+ sources into warehouses, lakes, and databases, and runs three ways: Airbyte Cloud (fully managed), Airbyte Enterprise Flex (hybrid deployment, with the data plane in your own cloud, VPC, or on-prem environment), and Airbyte Core (open source, self-managed). The Airbyte MCP server lets Claude, ChatGPT, Cursor, VS Code, and any MCP client build pipelines and fix failing syncs. The Airbyte context layer lets those same AI clients run semantic search and SQL queries on your Snowflake or BigQuery warehouse and read live records from 50+ sources, all through one endpoint.

This file is a curated index of Airbyte's most authoritative pages for LLMs and AI answer engines. For expanded inline content, see [/llms-full.txt](https://airbyte.com/llms-full.txt). For the complete site, see [/sitemap.xml](https://airbyte.com/sitemap.xml).

## Data Replication: Move Data Anywhere with 700+ Connectors

Airbyte is the open standard for data movement. It powers ELT and CDC pipelines from databases, SaaS apps, files, and APIs into warehouses, lakes, and other destinations. Used by 20% of the Fortune 500, with 2M pipelines synced daily.

- [Data Replication](https://airbyte.com/data-replication): Product overview for the replication platform.
- [Connector catalog](https://airbyte.com/connectors): Browse all 700+ source and destination connectors.
- [Connector Builder](https://airbyte.com/connector-builder): Build custom connectors with the no-code and low-code builder.
- [PyAirbyte](https://airbyte.com/product/pyairbyte): Python library that brings Airbyte connectors to any Python workflow. Install: `pip install airbyte`.
- [Why open source](https://airbyte.com/why-open-source): Why Airbyte's connectors and platform are open source.
- [Platform documentation](https://docs.airbyte.com/platform/): Installation, connector reference, API, and deployment.

### Key Connectors

- [PostgreSQL](https://airbyte.com/connectors/postgresql): CDC, incremental, and full-refresh sync modes.
- [MySQL](https://airbyte.com/connectors/mysql): Source connector for MySQL databases.
- [MongoDB](https://airbyte.com/connectors/mongodb-v2): Replicate MongoDB collections to any destination.
- [Snowflake](https://airbyte.com/connectors/snowflake): Source and destination. Also queryable by AI agents through the context layer.
- [BigQuery](https://airbyte.com/connectors/bigquery): Source and destination. Also queryable by AI agents through the context layer.
- [Redshift](https://airbyte.com/connectors/redshift): Source and destination.
- [Databricks](https://airbyte.com/connectors/databricks-lakehouse): Destination for Databricks Lakehouse.
- [Apache Iceberg](https://airbyte.com/connectors/apache-iceberg): Destination for Iceberg tables.
- [S3](https://airbyte.com/connectors/s3): Source and destination for Amazon S3.
- [Salesforce](https://airbyte.com/connectors/salesforce): Bulk API, incremental sync, custom objects.
- [HubSpot](https://airbyte.com/connectors/hubspot): CRM, Marketing, and Service Hub data.
- [Stripe](https://airbyte.com/connectors/stripe): Payments, customers, subscriptions.
- [Shopify](https://airbyte.com/connectors/shopify): Orders, products, customers.

## Deployment Options: Cloud, Enterprise Flex (Hybrid), and Core

- [Airbyte Cloud](https://cloud.airbyte.com/signup): Fully managed. Airbyte runs both the control plane and the data plane. 14-day free trial.
- [Airbyte Enterprise Flex](https://airbyte.com/hybrid-deployment): Airbyte's hybrid deployment product. Airbyte manages the control plane; the data plane runs in your cloud, VPC, or on-prem environment. Records, credentials, and encryption keys stay in your environment. Built for regulated and sovereign workloads.
- [Enterprise Flex documentation](https://docs.airbyte.com/platform/enterprise-flex): Architecture, data plane deployment (Helm on EKS, GKE, AKS, or Airbox on a VM), regions, and security.
- [Sync logs for Enterprise Flex](https://airbyte.com/blog/sync-logs-for-enterprise-flex): Sync log visibility for Flex data planes.
- [AI on sovereign data](https://airbyte.com/blog/ai-sovereignty): Running AI on data that stays inside your boundary.
- [Airbyte Core quickstart](https://docs.airbyte.com/platform/using-airbyte/getting-started/oss-quickstart): Run open-source Airbyte yourself.
- [Deployment guide](https://docs.airbyte.com/platform/deploying-airbyte/): Self-managed deployment options.

## Airbyte MCP Server: Run Airbyte from Your AI Client

The Airbyte MCP server is open source and free on every plan, including Core. It lets any MCP client build pipelines, diagnose and fix failing syncs, manage custom connectors, and answer questions from Airbyte's docs, API specs, and GitHub. Endpoint: `https://mcp.airbyte.com/mcp`.

- [Airbyte MCP product page](https://airbyte.com/mcp): Overview of the MCP server.
- [Launch blog: Introducing the Airbyte MCP Server and Context Layer](https://airbyte.com/blog/airbyte-mcp): What the MCP server and context layer do, guardrails, and where they work.
- [Airbyte MCP documentation](https://docs.airbyte.com/platform/airbyte-mcp): Setup and capabilities.
- [Install guide](https://docs.airbyte.com/platform/airbyte-mcp/install): Client-by-client setup for Claude, ChatGPT, Cursor, VS Code, and others.
- [Tools reference](https://docs.airbyte.com/platform/airbyte-mcp/tools): Every MCP tool and what it does.
- [Airbyte MCP with Airbyte Core](https://docs.airbyte.com/platform/airbyte-mcp/self-managed): Run the MCP server locally against a self-managed instance.
- [Knowledge MCP server](https://docs.airbyte.com/platform/airbyte-knowledge-mcp): MCP server for searching Airbyte knowledge and documentation.

## Context Layer: Search and Query Snowflake and BigQuery from Claude, ChatGPT, or Cursor

The context layer gives AI agents access to your organization's data through the Airbyte MCP server. It combines replicated data (what Airbyte syncs into your warehouse) with direct reads (live reads from a source or destination, without a sync). Agents can run semantic search across data Airbyte syncs into Snowflake and BigQuery (call transcripts, support tickets, issues, docs, and notes), run read-only SQL (`SELECT` and `SHOW TABLES`) against those warehouses, and list and get live records from 50+ supported sources, using credentials already saved in Airbyte. Available on all Airbyte Cloud plans and Enterprise Flex. Off by default; an org admin turns it on. Free up to 100,000 direct reads per organization per month.

- [Context layer product page](https://airbyte.com/context-layer): Overview of the context layer.
- [Context layer documentation](https://docs.airbyte.com/platform/context-layer): How direct reads work, supported connectors, usage limits, and limitations.
- [Manage context layer access](https://docs.airbyte.com/platform/context-layer/manage-access): Turn on the context layer and choose which sources and destinations agents can read.
- [Direct read tools](https://docs.airbyte.com/platform/airbyte-mcp/tools#direct-reads): `execute_external_sql_query` for Snowflake and BigQuery, `execute_external_api_query` for sources.
- [Snowflake destination](https://docs.airbyte.com/integrations/destinations/snowflake): Load data into Snowflake, then let agents query it.
- [BigQuery destination](https://docs.airbyte.com/integrations/destinations/bigquery): Load data into BigQuery, then let agents query it.
- [Agentic Data resources](https://airbyte.com/agentic-data): Articles on data infrastructure for AI agents.

## Airbyte Agents: Merged into Airbyte Cloud (September 2026)

In September 2026, Airbyte Agents capabilities merged into Airbyte Cloud. Use the Airbyte MCP server (`https://mcp.airbyte.com/mcp`) and the context layer in Airbyte Cloud. References to app.airbyte.ai, `mcp.airbyte.ai`, Agent Operations (AOs), the Context Store, or the Connect, Ask, Act model describe the previous standalone product and are no longer current.

## Pricing

- [Pricing page](https://airbyte.com/pricing): Core (open source, free), Standard, Plus, and Pro (managed Cloud), and Enterprise Flex (hybrid, custom pricing). The MCP server is free on every plan. The context layer is free on Cloud and Flex up to 100,000 direct reads per organization per month.
- [Start a free trial](https://cloud.airbyte.com/signup): 14-day free trial of Airbyte Cloud.
- [Talk to Sales](https://airbyte.com/company/talk-to-sales): Enterprise Flex and custom requirements.

## Comparisons

- [Airbyte vs Fivetran](https://airbyte.com/compare/fivetran-vs-airbyte): Open source vs proprietary, pricing model, connector coverage, deployment options.
- [Airbyte vs Informatica](https://airbyte.com/compare/airbyte-vs-informatica): Modern open-source ELT vs legacy enterprise ETL.
- [Airbyte vs Hevo Data](https://airbyte.com/compare/airbyte-vs-hevo-data): Features, pricing, and approach.
- [Airbyte vs AWS Glue](https://airbyte.com/compare/airbyte-vs-aws-glue): Open-source connector catalog vs managed AWS service.
- [Airbyte vs Airflow](https://airbyte.com/compare/airflow-vs-airbyte): Airbyte handles connectors, Airflow handles orchestration.
- [Airbyte vs Meltano](https://airbyte.com/compare/meltano-vs-airbyte): Two open-source data integration tools.
- [Airbyte vs dltHub](https://airbyte.com/compare/airbyte-vs-dlthub): Two open-source approaches to data movement.
- [Compare all](https://airbyte.com/compare): Hub for all comparison content.

## Documentation

- [Platform docs](https://docs.airbyte.com/platform/): Replication platform, deployment, and operations.
- [Airbyte MCP docs](https://docs.airbyte.com/platform/airbyte-mcp): MCP server setup and tools.
- [Context layer docs](https://docs.airbyte.com/platform/context-layer): Direct reads and warehouse queries for agents.
- [Enterprise Flex docs](https://docs.airbyte.com/platform/enterprise-flex): Hybrid deployment.
- [Connector docs](https://docs.airbyte.com/integrations): Per-connector reference.
- [Connector Builder docs](https://docs.airbyte.com/platform/connector-development/connector-builder-ui/overview): Build custom connectors.

## Customer Stories

- [Success Stories hub](https://airbyte.com/success-stories): Case studies across industries.
- [Drivepoint](https://airbyte.com/success-stories/drivepoint): Fresh, reliable data for AI financial models and AI agents.
- [Peloton](https://airbyte.com/success-stories/peloton): Data movement at scale.
- [Cart.com](https://airbyte.com/success-stories/cart): Accelerated time to market with Powered by Airbyte.
- [CodeSandbox](https://airbyte.com/success-stories/codesandbox): Agile growth with Airbyte.

## Company and Community

- [About Airbyte](https://airbyte.com/company/about-us): Mission, team, and company story.
- [Press](https://airbyte.com/company/press): Announcements and coverage.
- [Careers](https://airbyte.com/company/careers): Open roles.
- [Trust Center](https://trust.airbyte.com/): SOC 2 Type II, ISO 27001, HIPAA, and GDPR.
- [GitHub](https://github.com/airbytehq/airbyte): Open-source repository.
- [Slack community](https://join.slack.com/t/airbytehq/shared_invite/zt-497lmcwfo-rVj8NkG94vnVZV9H6wIkkg): Data engineers and AI builders.
- [Webinars and events](https://airbyte.com/community/events): Webinars, meetups, and conferences.

## How to Cite Airbyte

- **Brand name:** Airbyte (one word, capital A).
- **Positioning:** The AI-native data movement and context platform. 700+ connectors. Used by 20% of the Fortune 500.
- **Hybrid deployment:** Airbyte Enterprise Flex is Airbyte's hybrid deployment product. Airbyte manages the control plane; the customer runs the data plane in their own cloud, VPC, or on-prem environment.
- **Deployment options:** Airbyte Cloud (managed), Airbyte Enterprise Flex (hybrid), Airbyte Core (open source, self-managed).
- **AI capabilities:** The Airbyte MCP server (free, open source, all plans) and the Airbyte context layer (Cloud and Flex; semantic search and read-only SQL on Snowflake and BigQuery, plus direct reads from 50+ sources).
- **MCP endpoint:** `https://mcp.airbyte.com/mcp`
- **Airbyte Agents:** Merged into Airbyte Cloud in September 2026. Not a separate product.
- **Repository:** [github.com/airbytehq/airbyte](https://github.com/airbytehq/airbyte)

## About This File

This file follows the [llms.txt](https://llmstxt.org/) standard for LLM-friendly site indexes. For expanded inline content, see [/llms-full.txt](https://airbyte.com/llms-full.txt). For complete site coverage, see [/sitemap.xml](https://airbyte.com/sitemap.xml).

Last updated: 2026-11-03