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VectorHub

Your agent is only as useful as what it can reach

A model that can reason but cannot act is a demo. VectorHub is the layer that turns an agent into something that files the ticket, runs the query and posts the update, without you building 60 integrations first.

What changes

From integration project to configuration step

The work that used to define your roadmap becomes a command you run once per agent.

Day-one capability

Your first agent starts with the full catalog available rather than the two integrations you had time to build.

Context that stays small

Discovery exposes a working set of around eighteen tools per turn, so you are not spending the context window on schemas.

Scoping you can defend

Each agent gets its own key and its own allowlist, which is what makes prompt injection a rejected request instead of an incident.

Patterns

What teams build on one key

Cross-system work is where agents earn their keep, and exactly where per-service integrations fall apart.

Revenue operations agent

Reads pipeline from Salesforce, enriches from Apollo, posts a digest to Slack and files follow-ups in Linear: one key, four connectors.

SalesforceApollo.ioSlackLinear

Support triage agent

Classifies incoming Zendesk tickets, pulls order state from Shopify, refunds through Stripe when policy allows and escalates the rest.

ZendeskShopifyStripeSlack

Engineering on-call copilot

Correlates a PagerDuty incident with Sentry errors and Datadog metrics, finds the offending deploy in GitHub and drafts the postmortem.

PagerDutySentryDatadogGitHub

Analytics answer bot

Answers questions in Slack by querying Snowflake, cross-checking the dbt model and linking the Looker dashboard it came from.

Snowflakedbt CloudLookerSlack
The arithmetic

Multiplication becomes addition

Three agents and twenty services is sixty configurations when each agent holds its own clients and credentials. Through a gateway it is twenty-three.

  • Adding an agent costs one key, not twenty integrations.
  • Adding a service benefits every agent at once.
  • An upstream API change is fixed once, centrally.
  • Revoking an agent's access is a single operation.
arithmetic
Without a gateway
  3 agents × 20 services  =  60 configurations
                             60 credential copies
                             60 things to fix on Friday

With VectorHub
  3 agents + 20 services  =  23 configurations
                              0 credentials in agents
                              1 place to fix anything

  4th agent, without:  20 integrations, ~3 weeks
  4th agent, with:     1 command,       ~30 seconds
FAQ

Questions from agent teams

We already have a few integrations working. Is this worth switching to?

The question worth asking is what your fourth agent costs. If adding it means re-running every auth flow and copying secrets onto another machine, the architecture multiplies. Existing integrations can stay while new ones come through the gateway.

How does this interact with our own MCP server?

The gateway can front MCP servers you already run, so your custom server inherits the same scoping, logging and key management as managed connectors without being rewritten.

Can different agents share a connection but not permissions?

Yes, and that is the normal setup. One Salesforce connection backs many keys, each scoped to a different tool allowlist.

Ship the agent, not the integrations

Connect your stack once and spend the rest of the quarter on the part that is actually your product.

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