One MCP Gateway To Rule Them All

May 19, 2026

Summarize with AI:

As organizations race to adopt AI, the MCP gateway is growing in popularity. The idea makes sense. Instead of managing dozens of individual MCPs for every tool in your stack, route them through one endpoint. Your agent now communicates and pulls data from one place, thereby avoiding the classic N x M problem of managing multiple integrations. This also theoretically improves governance and observability by confining agent actions and fetches to one place.

But most MCP gateways don't actually solve those problems. That's because they are just shells over a collection of other MCP servers or APIs. And these servers are wildly inconsistent in terms of standards and response types. When your agent uses the gateway, it has no control over how the data is discovered, how the context is assembled, and no centralized form of credential management. This is a governance and scalability nightmare.

It's hardly surprising that so few agents make it from pilot to production. They're relying on infrastructure that doesn't answer production needs.

That's why we built Airbyte Agents to be the singular, complete MCP gateway for production agents. What makes it different from everything else on the market?

It's powered by the Context Store.

The Context Store solves what we call the discovery problem. Agents have access to tools, but they don't know where information resides. The Context Store is a pre-materialized, search optimized index of all your business systems that tells your agents exactly where it needs to look to pull the right context to solve a given task, in under 500 milliseconds. It all happens before runtime, instead of at query time. This means lower latency, lower token consumption, and reduced context bloat.

Here are the numbers that matter:

80% fewer tokens on a single query with the Airbyte Agent MCP
40% fewer tool calls compared with native vendor MCPs
90% cost savings on multi-source queries

The governance story is just as important. With Airbyte, every tool call is logged: which connector was used, which entity was queried, what action was taken, when it happened, and whether it succeeded or failed. It can be used via the UI, an MCP inside Claude or ChatGPT, or as an SDK inside your dev team's preferred harness.

But why is that important?

Because it means every team, from HR to marketing to engineering, builds agents on the same governed infrastructure. When a marketing agent pulls deal data from Salesforce to personalize a campaign, your team can see which connector was used, what entity was queried, what action was taken, and when, all from a single dashboard. The gains compound as more teams join and add sources, because every agent they build starts from the same governance foundation. This is especially powerful when agents operate cross-functionally across teams.

For Prosumers

Prosumers are what we call builders who aren’t coders but ship AI workflows across marketing, ops, HR, finance.

Turn Claude, ChatGPT, or Cursor into a super agent across your entire stack. No need to configure separate MCPs or manage credentials. Your tools and context live in Airbyte, keeping them portable. Switch from Claude to ChatGPT tomorrow and take your context with you.

For Developers

This is for people who want to bring their own harness.

The Agent SDK works with LangChain, LlamaIndex, CrewAI, and more. You get the same features and governance as the MCP, but inside whatever agent harness your team already runs. Deploy anywhere and never maintain connector code again.

A Final Note

MCP servers and API integrations give agents access. But access isn't enough. Airbyte Agents creates a gateway that gives agents a single source of truth that is searchable and centrally governed. This is what is needed for agents to actually work in production.

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