SecureContext

Security-first gateway for controlled AI access to internal knowledge and systems.

Prevent data leakage while giving AI assistants safe access to your internal context.

Customer-hostedRole-based permissionsWhite-label MCP name

The Context Gap

Knowledge is Trapped

Your team's domain knowledge lives scattered across Slack threads, Jira tickets, Confluence pages, and enterprise knowledge platforms. 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, Claude Code, Cursor, etc.

SecureContext logo
SecureContext

MCP Gateway with Auth & Permissions

Inside Your VPC
Company Systems

Slack, Jira, internal docs, enterprise systems.

All requests are policy-checked, logged, and enforced before any context reaches an AI model.

Recommended

Customer-hosted

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

SecureContext runs like any other internal service - no external data paths required.

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.

SecureContext runs inside your environment - the AI assistant never connects to internal systems directly.

Developers interact with SecureContext as a first-class internal system, not a chatbot or plugin.

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 plan and operating model that fits your organization's needs.

Community

Free evaluation for small teams validating fit.

  • Up to 5 developers
  • 1 native + 1 remote integration
  • Read-only access
  • Customer self-hosted deployment
  • OIDC SSO
  • Docs-only support
Team

For production rollout with baseline governance controls.

  • $19/month, up to 50 developers
  • Up to 5 total integrations
  • Customer self-hosted deployment
  • OIDC SSO + basic RBAC
  • Actions enabled
  • Email support
Enterprise
Popular

Self-serve advanced security and scale for self-hosted deployments.

  • $29/month
  • Unlimited developers
  • Unlimited integrations
  • Customer self-hosted deployment
  • SSO / OIDC / mTLS
  • Full audit logging
  • HA deployment guidance
  • Dedicated support
Managed Cloud

Hosted and operated by SecureContext for teams that do not want to run infra.

  • Unlimited developers
  • Unlimited integrations
  • Isolated tenant deployment
  • SecureContext-managed operations
  • Enterprise auth and audit controls
  • Contact sales

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.