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You asked for it, you got it. The Airbyte MCP server is here 🚀
Build pipelines, fix failing syncs, and use the context layer to chat with your Snowflake or BigQuery data from Claude, ChatGPT, Cursor, or any other client that supports MCP.
This was the most demanded feature in Airbyte history, and we’re excited to finally put it in your hands.
The MCP server is open source and free for every Airbyte user. The context layer is for Airbyte users on paid plans.
Read the launch blog: tinyurl.com/53k8zm64
Every ad, traced all the way to revenue and customer lifetime value.
That's the marketing agent @codyschneider sketched out for @gregisenberg on @startupideaspod.
What makes it work is the order he builds it in. Data first, agent second.
Airbyte moves Facebook Ads, Google Analytics, HubSpot, PostHog, and payment data into ClickHouse, syncing in the background. The agent queries one warehouse instead of five APIs, so it isn't drowning in raw API responses or tripping rate limits.
That's how "this ad drove clicks" becomes "this ad brings in customers who keep paying."
Thanks to Cody and Greg for a sharp, practical walkthrough 🙌
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Airbyte retweeted
I don't believe data movement should be complicated or expensive. That's why it's always great when we can help a customer cut their projected costs by two-thirds! 🥳 And simplify their data infrastructure at the same time.
@WeWork's data team, led by Steven Rowland, was facing rising costs from a longtime vendor, so they came to Airbyte. They moved hundreds of connections to Airbyte, including custom tooling they built in house, using Airbyte's Connector Builder.
Here's how we keep data movement costs stable for enterprise workloads with Airbyte. We price by capacity (sync speeds and frequency), rather than volume.
Paying by volume is fine when you're small. But as you scale, every new source becomes a budget conversation. Airbyte's capacity based pricing keeps prices stable.
I also love that we were able to help Steven and his team with their custom tooling. Our community has built over 35K custom connectors with Airbyte, and that number continues to grow 📈
Read the full WeWork story: airbyte.com/success-stories/…
Semantic search is live in the Airbyte context layer. @Gong_io, @Jira, @Salesforce, @Confluence, @Gmail, @Zendesk Chat into @Snowflake/@Google BigQuery, searchable by meaning, joinable by SQL. airbyte.com/blog/search-in-a…
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Airbyte retweeted
doing a summit on frontier ai models and infra.
come learn how software gets built today, how AI is changing everything & what it means for founders & engineering teams.
speakers include:
@calcsam - CEO @mastra
@sarahookr - Co-founder @adaptionlabs
@wesmckinn - Creator of @pandas_dev
@MichelTricot - CEO & Co-founder @AirbyteHQ
@adityagrover_ - CTO @_inception_ai
@ethankurz - Managing Partner @chemistry
nov 17 . sf. more incoming
apply here: luma.com/backprop
Airbyte retweeted
You don't need a new database to give your agents context. Your warehouse already is one.
Here's how to turn it into a context layer with Airbyte. (continued in thread)
tinyurl.com/53k8zm64
"Treat the agent like a new team member. Least privileged by default."
Airbyte's Ian Alton on @tfir_io, on how the Airbyte MCP finds failed syncs, reads the logs, and explains the fix without ever handing the model a credential.
tfir.io/ai-agents-data-pipel…
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Airbyte retweeted
The Airbyte MCP server and context layer are now available!
Recently, we surveyed our community (thanks to everyone who participated 🫶), and we identified there was incredible demand for an Airbyte MCP server. In fact, it was the most demanded feature in the history of Airbyte.
And it makes perfect sense! Like many of you, I don’t like switching out of my AI client to access a web UI anymore. It’s unnecessary friction.
You can now run Airbyte from Claude, ChatGPT, Cursor, or VS Code. Build a pipeline, diagnose a failed sync, or manage a connector by asking your AI agent.
Here’s what’s really cool: for paying users, the MCP server also gives you access to the Airbyte context layer. The Airbyte context layer allows you to chat directly with your Snowflake or BigQuery data warehouse. This is where your organizational context lives, and yet it is still difficult for agents to access that data for far too many teams. Not anymore.
For six years we built Airbyte for humans and dashboards. Now it can be run by the same agents that consume the data it moves.
The MCP is open source and free for every Airbyte user. The context layer is available for Airbyte cloud users.
Read the launch blog: lnkd.in/eHpjiUgd
Airbyte Enterprise Flex now supports sync logs in the UI. Search, filter, stack traces, no kubectl. Off by default; your security team should weigh in first. airbyte.com/blog/sync-logs-f…
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We'll be at Data Outpost by @motherduck, Nov 4 and 5 in San Francisco 📍
Catch our developer advocate Richelle Herrli on Nov 4 for a hands-on workshop, "Turning Your Data Into AI Context, Powered by Airbyte," or find us at the booth to talk about data sovereignty... and cop an Octavia plushie!
Register here: dataoutpost.ai
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We had the best time at #SFTechWeek! Thank you for all of you who attended our Rooftop Refresh and made it into the party of the week 🥳
The bites were elevated. The drinks were refreshing. The people were phenomenal.
And the vibes were immaculate 💅
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Our CEO @MichelTricot spoke at @TechCrunch Disrupt yesterday, and based on the absolutely PACKED 🥳 room, it's a topic many people are thinking about: what happens when OpenAI ships your roadmap?
Shared the stage with @RebeccaBellan, @YayLT, and @_RobToews
Michel shared some of his insights on how AI has been a force multiplier from Airbyte, as well as what we consider the most powerful moat for a company.
Here's a hint: it's data 🤓
Watch the full video here: youtube.com/watch?v=WaM4IGvd…
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Airbyte retweeted
Rising · Data Integration
Top 3
1. @airbytehq: AIQ 80
2. @EstuaryDev: AIQ 43
3. @fivetran: AIQ 28
AIQ: recommendation strength within this ranking.
We let AI agents fix our production connectors on their own.
Building it was easier than you'd think.
Trust was harder. We installed evals that prove a fix works, humans in the loop where it matters, staged rollout so one bad change stays small.
@pedroslopez broke it down at @Ai4Conferences
youtube.com/watch?v=aKtpWWeB…
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BigQuery is now a certified Airbyte source, our fastest one EVER!
It reads 1TB in under an hour via the Storage Read API 🤯
Typed columns, nested schemas, resumable syncs.
airbyte.com/blog/bigquery-so…
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Hand your full business context to a vendor, then pay for outputs built from it. @MarioMoscat on @tfir_io calls that renting back your intelligence.
We're in the business of owning your intelligence. Check the full conversation:
tfir.io/airbyte-ai-data-sove…
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700+ connectors, each on an API we don't control. That's a lot of maintenance.
@Cognition wrote up how Devin helps us keep up: ~990 issues triaged in 90 days, support resolution time roughly halved, 62% of doc updates auto-merged.
Humans still get final review. Check out the full story.
devin.ai/customers/airbyte
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Code is cheap now. Undocumented decisions aren't.
Our CTO Davin Chia on cognitive debt, in @sdtimes
sdtimes.com/agentic-ai/code-…
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Airbyte retweeted
How we measure AI ROI at Airbyte: connectors per engineer. It started 1:1.
Hydra, our fully agentic internal system, keeps pushing that ratio higher to where we want to be.
Check out the full talk with @DevInterrupted (link below)
Airbyte retweeted
Your AI rollout probably doesn't have a model problem. It has a "nobody wrote this down" problem.
Our CTO Davin Chia explains this phenomenon, which we call "cognitive debt", in this piece for @sdtimes.
sdtimes.com/agentic-ai/code-…







