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OUTBORN AGENT CONNECT

The connection and action layerfor AI agents.

Connect AI agents to MCP servers, apps, APIs, databases, browsers and trusted devices through managed authentication, scoped permissions and auditable execution.

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MCP GATEWAY + AGENT ACTION LAYER

Connect every agent.Control everyaction.

A secure MCP gateway and execution layer between AI agents and the tools, data, infrastructure and devices they need to use.

Keep credentials private

Manage encrypted provider credentials in a dedicated connection layer, without returning provider secrets to AI runtimes.

Choose what is accessible

Use explicit provider capabilities and permission grants to control access to connected systems.

See connection activity

Inspect connection health, resource discovery and recorded operations in one place.

01

Connect your systems

Add a provider account, an MCP endpoint, or a trusted browser or device.

02

Set the boundary

Configure the available capabilities and access. High-impact device permissions need explicit confirmation.

03

Work with visibility

Let your AI runtime use connected capabilities, then review health and activity in Agent Connect.

APPS & INTEGRATIONS

Your tools. Connected to your agents.

Bring email, data, knowledge, and everyday work into one connected workspace.

GmailEmail
SlackTeam conversations
GitHubRepositories
NotionKnowledge
PostgreSQLData
Google CalendarSchedules
SalesforceCustomer records
HubSpotCRM
JiraProjects
ConfluenceDocumentation
SharePointFiles
OutlookEmail
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ORGANIZATION & AI GOVERNANCE

AI proposes. Your team stays in control.

Give AI access to connected systems with clear ownership and reviewable changes. Use approval rules to put an authorized owner or reviewer in the decision loop.

Control Center

Assign owners, teams and environments. Review health, change plans and approval policies in one place.

Proposals

Inspect the intended action, inputs, rationale and impact. Edit or dismiss a pending AI proposal before it runs.

Owner approval

Set allowed approver roles for sensitive actions. Ownership identifies accountability; the policy determines who can approve.

Explore a scenario

Interactive example · no live changes

01 / AI REQUESTS

ChatGPT logoChatGPT
Gemini logoGemini
Claude logoClaude
Internal AI

02 / POLICY & APPROVAL

Agent ConnectCheck scope · Prepare proposal
Waiting for review

03 / MCP TOOLS & SKILLS

Popular app
Database MCP
Cloud provider
Connector skills
In-house application
People make the call.Approver roles set by your organization
App owner
IT / Security
DPO / Privacy
Reviewer

Execution waits · Decision and outcome recorded

In Proposals, approving can immediately execute the change. In Control Center, change plans have separate Approve and Execute actions.

Examples apply to governed provider actions supported by an adapter. Agent Connect manages connections, proposals and operational change controls; Outborn Governance provides the broader governance layer. This is not a blanket approval gate for every AI interaction.

A clearer connection.

Is this an agent builder?

Agent Connect owns connections, credential brokerage and access to systems. Outborn AI owns agent definitions, orchestration and workflows. Outborn Governance owns risk, policy and approval boundaries.

How are credentials handled?

Provider and MCP secrets are encrypted with AES-256-GCM before persistence. Underlying provider secrets are not returned to connected AI runtimes. Supported OAuth MCP connections use PKCE and server-side credential storage.

What can I connect?

Provider APIs, remote MCP servers, supported data platforms, browsers and trusted devices. Capabilities vary by adapter. Some entries are beta or catalog-only; ODBC/JDBC execution requires a compatible driver runtime.

Outborn

One governed action layer for your AI stack.

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