Use cases · Gemini control plane
Your control planefor Gemini.
Connect tools, secure every interaction, distribute access by team, and observe usage and spend. One platform to govern Gemini across your engineering org.
Gateway · Policy line
Live
github.create_pull_requestallow ✓linear.update_issueallow ✓sentry.list_issuesallow ✓AWS key detected in diffblock · secretnotion.searchallow ✓489
Sessions
4,412
Tool calls
12
Blocked
Trusted by
01 · The problem
Gemini adoption is outpacing engineering control
Without a control plane
- How does it roll out?
- Developers wire Gemini to their own MCP servers and paste in their own keys. No central place to approve tools or give every engineer the same vetted setup
- Who sees the usage?
- Once Gemini is connected, no shared view of which repos, APIs, and data it touches, what actions it runs, or who is running them
- What does it cost?
- Token spend climbs across teams with no budgets or limits. Costs surface on the invoice, long after the runs that drove them
On the control plane
- How does it roll out?
- One vetted catalog of MCP servers, provisioned team by team through your IdP
- Who sees the usage?
- Every session, tool call, and permission change in one searchable audit trail
- What does it cost?
- Budgets per team, enforced in real time, with every token attributed to a named engineer
Speakeasy's AI control plane has been indispensable in enabling Fivetran's AI transformation.
Eli Davis
Fivetran
02 · The control plane
Build your control plane for Gemini
Speakeasy sits between Gemini and every system it touches. Connect tools, secure every interaction, distribute access by team, and observe usage and spend from one platform.
slack
github
linear{}internal-api
gatewayGemini- 1. Connect
- Pre-built catalog: GitHub, Linear, Sentry
- Internal APIs from an API definition
- Credentials vaulted, never exposed to the model
Works with every identity provider
Any SAML / OIDC
Any SAML / OIDCEvery agent
One control plane for every agent
Teams rarely settle on a single agent. The same rollout, oversight, and cost controls apply across Anthropic, OpenAI, Google, and the agents your teams build themselves.
The MCP server we built using Speakeasy just works. It made becoming AI-native much simpler than we expected.
Constantine Nathanson
Staff Software Engineer, Cloudinary
Questions
What does a control plane for Gemini do?
It sits between Gemini and every system it touches, so the whole organization runs through one governed path. From a single platform you connect tools, secure every interaction, distribute access by team, and observe usage and spend. Gemini usage scales without trading speed for safety.
How does Speakeasy connect Gemini to enterprise systems?
Speakeasy provisions MCP servers for every tool and system Gemini needs to reach. Pre-built connectors cover common SaaS like GitHub, Linear, and Sentry. Internal APIs become managed MCP servers from an API definition. Everything goes through one governed path.
How does Gemini authenticate to internal systems?
Through your existing identity provider. Speakeasy plugs into Okta, Microsoft Entra ID, Auth0, WorkOS, Google Workspace, or any SAML or OIDC provider. Gemini inherits the user's existing roles and permissions, so no new account model is created and access stays consistent with what the user already has.
Can I scope which tools each team or person can access?
Yes. Provision sub-catalogs per team so each group of engineers sees only the MCP servers and toolsets relevant to their work. Permissions can scope down to the individual tool, and credential management replaces the pattern of developers pasting API keys into Gemini.
How is data exfiltration prevented?
Every prompt and response is inspected in real time. Source code, PII, and exfiltration patterns are actively blocked. Prompt injection and shadow MCPs are passively detected. Alerts integrate with your existing SIEM, and a full audit trail records who asked what, when, against which data.
Does this change how developers use Gemini?
No. Speakeasy layers onto Gemini without changing the client. Developers keep using Gemini the way they already do; the control plane sits behind the scenes managing connections, identity, and policy.
What is the rollout pattern most companies follow?
Pick one team and one set of tools (often a platform team with GitHub and Linear), route them through Speakeasy, prove value, then expand. Per-team registries make it easy to roll out to one team at a time without blocking the rest of the organization.
How does Speakeasy control Gemini costs?
Token use is attributed to a team, user, and tool, so spend is never a black box. Set monthly budgets per team and enforce them in real time, with alerts as a team approaches its limit and a hard cap when it hits it. Leadership sees spend trending before the invoice arrives, and chargebacks hold up because every cost traces back to who incurred it.