Agents that actually know your business
Airbyte connects to your tools and turns your business data into
living context. Every agent you build gets the full picture.
Support
Sales
Engineering
Finance




Every agent tool connects to your systems. None of them understand the relationships between them. Your customer isn't a Salesforce record, a Zendesk ticket, and a Stripe invoice. They're one person.
Your migration isn't a Linear ticket, a GitHub branch, and a Slack thread. It's one project. Until your agents see it that way, they'll keep giving you shallow answers.
Meet the Context Store
Without context, agents make things up. Airbyte gives every agent a live, searchable index of customers, deal, tickets, and conversations across your tools.
Your agents stop guessing. They know.



the results
Better context. Faster Agents.
From our open-source benchmarks comparing the Airbyte MCP with native MCPs from Salesforce, Gong, Slack, Linear, and Zendesk.
What Airbyte unlocks for your agents
They see your business the way you do: every system, every record, in real time.

Your agent plugs into everything
Pre-built connectors to every tool your team already uses. CRM, support, billing, HR, plus the dev tools underneath. One-click setup with managed auth. No API keys, no webhooks, no maintenance. New connectors land every week.

Your agent knows your business
Every customer record, support ticket, pull request, invoice, and conversation. Synced, structured, and queryable in one place. Your agent doesn't fire off a dozen API calls on the fly and hope nothing breaks. It hits one knowledge layer that's always current. One query, not ten.

Your agent knows Sarah is Sarah
Sarah Chen in Salesforce. sarah@acme.com in Zendesk. Account #4821 in Stripe. The Context Store puts them side by side, so your agent can reason across all of them: joining records, following relationships, building the full picture. One person, one company, one record.

Your agent is never behind
Built on the same replication infrastructure 20% of the F500 trusts for production data pipelines. Your agent's data isn't a stale snapshot from last Tuesday. Updates flow in as they happen, so your agent acts on what's true right now.
One foundation, three ways to build
Turn any interface into an agent with full business context. Prompt Claude, ChatGPT, Cursor, and more through MCP, build custom agents with the SDK, or chat with our Automations builder. Every path starts with your data already connected, unified, and ready.

Want ready-made agents?
Build without code in the Airbyte UI with the Automation Builder. Connect your tools, describe what you need, Airbyte Agents go to work.

Already using Claude or ChatGPT?
One connection gives Claude, Cursor, or any MCP client access to your full business data. Authenticated and always current.

Building your own agents?
One call to the Context Store from the Phyton SDK returns the full entity graph. Works with any framework.
Same Context Store powers all three.
Trusted by AI leaders and Innovators
Build with the Agent SDK
Connect with the SDK, plug into your existing stack, and ship agents with full programmatic control.

auth = AirbyteAuthConfig(
airbyte_client_id=os.environ["AIRBYTE_CLIENT_ID"],
airbyte_client_secret=os.environ["AIRBYTE_CLIENT_SECRET"]
)
hubspot = HubspotConnector(auth_config=auth)
stripe = StripeConnector(auth_config=auth)
email = "customer@example.com"
# Search for the contact in HubSpot
contact = (await hubspot.contacts.context_store_search(
query={"filter": {"eq": {"properties.email": email}}},
limit=1
)).data[0]
# Search for the customer in Stripe
customer = (await stripe.customers.list(email=email, limit=1)).data[0]
# List subscriptions for that Stripe customer
subs = await stripe.subscriptions.list(customer=customer.id)
connector = LinearConnector(
auth_config=AirbyteAuthConfig( airbyte_client_id=os.getenv("AIRBYTE_CLIENT_ID"),
airbyte_client_secret=os.getenv("AIRBYTE_CLIENT_SECRET),
)
)# Updated the model name to gpt-5.5
agent = Agent("openai:gpt-5.5", system_prompt="You have access to Linear.")@agent.tool_plain # assumes you're using Pydantic AI@LinearConnector.tool_utils
async def linear_execute(
entity: str,
action: str,
params: dict | None = None,
):
return await connector.issues.create(
team_id="<your_team_id>",
title="My new issue",
description="Created via the Airbyte Agent SDK",
)
Managed Auth
OAuth, API keys, token refresh. Connect once, never think about auth again.
50+ Agent Connectors
Typed SDK with auto-complete. More connectors coming every week.
Context Store
Query across every connected system. One call, full business context.
Framework Agnostic
LangChain, CrewAI, LlamaIndex, Pydantic AI. No lock-in.
Built on the same OSS foundation that runs data for thousands of companies
Airbyte has been moving production data for thousands of companies since 2020. The same infrastructure that syncs 1.2M pipelines daily now powers every agent you build.
20%
of the F500 uses Airbyte
1.2M
Pipelines synced daily
600+
Data Replication Connectors
50+
Agent Connectors
$181M
Raised from top-tier investors
20K
Github stars
27K
Community members
7K
Companies use Airbyte
compliance
Enterprise ready
Compliant with standards
SOC 2 Type II certified, GDPR and HIPAA support, with tools to help you meet internal and external regulatory requirements.
Uptime & SLA Guarantees
24/7 support and 99.9% availability backed by contractual SLAs and priority response times for mission-critical workloads.

Build context-aware agents in minutes.
Connect your systems once. Every agent you build runs on the same unified data layer.





