SecureContext

Private, branded company context for AI coding tools.

Customer-hostedRole-based permissionsWhite-label MCP name

Works with

SlackJiraConfluenceAmazon Q BusinessAWS BedrockGitHubInternal APIs

The Context Gap

Knowledge is Trapped

Your team's domain knowledge lives scattered across Slack threads, Jira tickets, Confluence pages, and Amazon Q Business indices. Developers waste hours searching for context that should be at their fingertips.

  • Tribal knowledge locked in chat history
  • Documentation spread across systems
  • Context lost when onboarding new engineers

AI Tools Need Trusted Context

AI coding assistants are powerful, but without access to your company's specific patterns, APIs, and domain knowledge, they generate generic code that doesn't fit your architecture.

  • Generic suggestions miss company standards
  • No awareness of internal APIs
  • Security concerns with external AI services
SecureContext bridges them via MCP.

How It Works

SecureContext acts as a secure MCP gateway between your AI coding tools and your company's knowledge systems.

IDE / Agent

VS Code, Cursor, etc.

SecureContext logo
SecureContext

MCP Gateway

Inside Your VPC
Connectors

Auth & Permissions

Company Systems

Slack, Jira, Q, etc.

Recommended

Customer-hosted

Deploy SecureContext in your own VPC. Full control over data, networking, and security policies.

Optional

Managed Cloud

For teams who want a faster start. We host and manage the gateway with enterprise-grade security.

Connection Examples

Use your custom MCP tools directly in your code or configure them via YAML.

example.ts
// Ask internal architecture knowledge
const decision = await Keystone.ask(
  "What caching strategy do we use for the checkout service?"
);

// Search past incidents from internal systems
const incidents = await Keystone.searchSlack(
  "checkout latency spike"
);

// Open an operational follow-up ticket
const issue = await Keystone.createJiraTicket({
  project: "CORE",
  summary: "Review checkout caching strategy",
  description: "Multiple latency incidents linked to cache misses.",
  priority: "Medium"
});

Packages

Choose the deployment model that fits your organization's needs.

Core

For small teams getting started with secure AI context.

  • Up to 50 developers
  • 3 connectors included
  • Customer-hosted deployment
  • Basic RBAC
  • Email support
Enterprise
Popular

For organizations with advanced security and scale requirements.

  • Unlimited developers
  • All connectors available
  • SSO / OIDC / mTLS
  • Full audit logging
  • HA deployment guidance
  • Dedicated support
Cloud Pilot

Managed hosting for teams who want to move fast.

  • Per-developer pricing
  • Quick setup (under 1 hour)
  • Managed infrastructure
  • Standard connectors
  • Trial-friendly

Security Posture

Built for enterprises that take security seriously.

Runs inside your infra

Deploy in your VPC with full network isolation.

No data exfiltration

Your data never leaves your security perimeter.

No telemetry by default

Opt-in analytics only. You control what's shared.

Auditable logs and RBAC

Full audit trail with role-based access control.

Trusted by Engineering Teams

SecureContext let us give our AI tools access to internal docs without compromising security. Setup took less than a day.

Engineering Lead

Series B Fintech

The white-label MCP name was key for us. Our developers use 'Atlas' as if it's a native part of our stack.

Platform Architect

Enterprise SaaS

We evaluated building this ourselves. SecureContext saved us months of work and handles edge cases we hadn't considered.

VP of Engineering

Healthcare Tech

Frequently Asked Questions

Deploy SecureContext in your VPC in under an hour.

Give your AI coding tools the context they need while keeping your data secure.