Every dashboard action is an MCP tool your agent can call.Read the docs
Agents

Let your AI agent do real email work. Keep authority outside the prompt.

Connect Claude, Codex, ChatGPT, Cursor, or another compatible client to live contacts, messages, lifecycle flows, analytics, and product-enforced actions.

Human operators use OAuth; headless agents use scoped, expiring first-party keys.

Agent connection
Agents

Start with a read-only task

Operator prompt

Inspect the onboarding flow, explain where contacts stop, and show the evidence before proposing a change.

Read-only first task

Connect

Remote MCP

Prompt

Inspect the live system

Boundary

Show before changing

Transport never grants authority

[ 01 / 03 ]Agent safety

A useful agent needs context and a boundary.

Giving an agent a chat box is not the same as giving it a safe operating model. The connection must identify the principal, scope the tools, distinguish inspection from change, and preserve the evidence returned by every call.

Authenticate a principal

Authority comes from the human or agent credential, not from the chat client carrying it.

Scope the action

Read access, preparation, confirmation, and execution remain separate capabilities.

Retain the result

Tool responses expose identifiers and state so later work can be checked instead of guessed.

[ 03 / 03 ]Operating model

Move from evidence to a prepared change, then decide what goes live.

01

Connect

Use a compatible MCP client and authenticate a real principal.

02

Inspect and build

Let the agent gather context and build the change, paused.

03

Enable and observe

Turn the work on deliberately, and keep the evidence of what ran.

Shared guarantees

  • OAuth 2.1 and scoped API keys
  • No transport-specific credentials
  • Confirmation-gated writes
  • Auditable tool results

Questions people ask us

Connect one agent to the live email system.

Start with an evidence-backed inspection, then review one prepared change.