WHY AGENTS STRUGGLE IN PRODUCTION

MCPs give agents access.
They do not give agents a map.

Every answer becomes a live crawl across Salesforce, Zendesk, Stripe, and more. The agent burns tokens, hits rate limits, and can only find what it already knows to ask for.

Wasted effort

Each question means calling every tool one by one and cleaning up raw data before the agent can even think.

Slow answers

Five systems means five round trips, one after another, each with its own rate limits and delays.

Missed connections

An agent only asks for what it already knows exists. It can't see how your data connects. So it skips it.

What runtime assembly actually costs?

An agent has to answer:
Is Flowtech up for renewal, and are they happy?

Without Airbyte5 systems = 5 live calls
01

Round trip. Renewal date buried in dozens of fields.

Salesforce API

02

Round trip. Rate-limited. Retry.

Zendesk MCP

03

Round trip. Completely different schema to parse.

Stripe API

04

Three raw payloads dumped in. Tokens burned before reasoning starts.

Gong MCP

05

Three different "Flowtech" records reconciled on the fly.

Linear MCP

Five round trips before the agent can begin to reason. Slow, expensive, and brittle the moment an API rate-limits or returns partial data.

With Airbyte1 search, pre-linked
01

context store

One query returns the unified Flowtech record, renewal, support, payments, already connected.

02

reason

The agent reasons immediately and answers.

One round trip. Fast, cheap, reliable.

How it works

The Context Store owns the knowing.
Agent Connectors own the doing.

READ & SEARCH

Context Store

Selected business entities are replicated into a managed, searchable index. Agents query unified context in a single call. No live crawl, no stitching.

WRITE & ACT

Agent Connectors

When an agent needs to act, Agent Connectors handle real-time reads and writes back to the source systems.

How they work together

Your agent discovers what it needs through the Context Store, then acts on it through Agent Connectors. It always knows where to look and always has a direct path to act.

the results

Less API crawling.
Fewer tokens.
Faster agents.

Airbyte narrows tool responses to the fields agents need instead of dumping full API objects into the context window.

View benchmark methodology

80%

fewer tokens on a single query
with the airbyte MCP.

40%

fewer tool calls compared with
native vendor mcPs.

90%

cost savings on multi-source
queries.

USE CASES

What agents can do with the Context Store

Cross-system questions your team already asks, answered by agents against indexed context, with live actions when needed.

Customer Success use case: prompt about renewals over $50K with support escalations, systems searched, and prioritized renewal-risk outcome.

HOW THE CONTEXT STORE IS DIFFERENT

Built for how agents work,
not how analysts work.

Warehouses, RAG stacks, and caches were built for other jobs, such as analysts running reports, search returning documents, apps storing sessions. Agents need something different: unified business context they can query the instant they need it, across every system, in one call.

Isn't this just a warehouse?

Warehouses centralize data for analysis. They aren't built for the millisecond, single-query retrieval agents need to reason in real time. The Context Store is built for operational speed, not historical reporting.

Isn't this just RAG?

RAG retrieves relevant documents. The Context Store returns unified business entities. Your agent gets the whole customer, not the closest-matching paragraph about them.

ENTITY RESOLUTION

Sarah Chen in Salesforce is sarah@flowtech.com in Stripe is Ticket #4892 in Zendesk.

Without entity resolution, your agent treats these as three separate records. The Context Store unifies them, so your agent reasons across one customer instead of three fragments.

Deterministic entity resolution is on the roadmap. Today, the unified context layer already gets your agent to the right answer the vast majority of the time.

ONE LAYER, EVERY PATH

Every path queries the
same Context Store.

However your agents connect, they query the same unified context. Same entities. Same freshness. Same permissions. One context layer for your whole company.

FAQ

Didn't find your answer?
Please don't hesitate to reach out.

Talk to us

How is the Context Store different from connecting vendor MCP servers?

Vendor MCP servers expose one system at a time. Each call returns raw API payloads your agent must page through, rate-limit, and stitch together. The Context Store replicates a curated subset of entities from every connected source into one searchable layer, so agents query unified business context in a single call—with indexed search, cross-source queries, and automatic refresh.

Is the Context Store a vector database?

No. The Context Store is a managed, searchable replica of business entities from your connected sources—not an embedding store or vector index. Agents search structured entities and fields that Airbyte replicates from connectors, rather than retrieving semantically similar document chunks.

How much does the Context Store reduce token usage?

Measured across Gong, Linear, Salesforce, Slack, and Zendesk connectors, the Context Store reduces token usage by up to 80% compared to direct API calls (up to 90% for Zendesk) and cuts tool calls by up to 40%, because agents query pre-indexed context instead of paging live APIs into the LLM context window.

How do I start using the Context Store?

Connect your data sources in the Airbyte UI—OAuth and credentials are handled for you. Airbyte populates the Context Store automatically on a recurring refresh schedule. Query it from the MCP server, Python SDK, REST API, or Airbyte web app. Sign up at app.airbyte.ai to get started.

Your agents do not need more tools. They need context.

Connect your systems once. Give every agent the same governed, searchable business context.

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