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Secure MCP & AI-Copilot Layers

Make your product
agent-ready. Securely.

We build production-grade MCP servers and AI copilots into the software you already ship - with per-tool authorization, scoped access, and full audit trails. The hard part most teams ship insecurely, done right.

See how we build - open-source proof on GitHub
Built for
  • Claude
  • Claude Agent SDK
  • Model Context Protocol
  • LangGraph
  • LangChain
  • Cursor
  • ChatGPT
  • Python
  • TypeScript
  • Next.js
  • OAuth 2.1
  • Claude
  • Claude Agent SDK
  • Model Context Protocol
  • LangGraph
  • LangChain
  • Cursor
  • ChatGPT
  • Python
  • TypeScript
  • Next.js
  • OAuth 2.1
The gap

A bare MCP server is a one-line commodity. A secureone isn't.

Frameworks now auto-expose your endpoints as an MCP server in minutes. What they don't give you is the layer that makes it safe to ship: multi-tenant isolation, per-tool scopes, OAuth, human-approval gates for destructive actions, and an audit trail you can hand to a security review. That layer is where teams stall - and where exposure happens.

What we build

Fixed-scope ways to start

Three productized engagements. Each one ships the secure, governed layer - not a prototype you have to harden later. Outcome and timeline are agreed up front; pricing is scoped to your build.

1–3 weeks

Secure MCP Layer Sprint

A production MCP server for your product — per-tool scopes, OAuth/PKCE-ready auth, a structured audit trail, and 3–5 real tools your users can drive from Claude, Cursor, or ChatGPT.

  • Per-tool authorization & scopes
  • Audit log on every call
  • Hardened against the common MCP CVE classes
2–4 weeks

AI Copilot Pilot

A working AI copilot embedded into one real workflow in your product — shipped with an eval suite so it doesn't silently regress as models change.

  • Scoped to one high-value workflow
  • Eval suite included
  • Human-approval gates for destructive actions
1–2 weeks

AI Automation & Internal Tools

Automate one painful, manual workflow end-to-end — the fast-ROI entry point for teams that drown in repetitive operations.

  • Fixed scope, fixed price
  • Built on your existing stack
  • You own the code
Proof

Don't take our word for it. See it run, read the code.

One you can watch end to end, one you can read line by line. These are reference implementations of the secure layer most teams get wrong - judge the quality before you ever book a call.

The hard-layer proof

Cereon CRM

An enterprise CRM with an embedded MCP server that does the part most teams skip — correctly.

  • 200+MCP tools — every one RBAC-gated
  • 44permissions across 5 role ranks
  • 100%of MCP tool calls written to the audit log
Cereon CRM — live demo
Demo
The breadth proof

Cereon Browser Operator

An open, self-hosted browser-control layer: a Manifest V3 extension that drives a real, logged-in browser over the Chrome DevTools Protocol — from any model, or none.

  • CDPdrives a real, logged-in browser — not a headless sim
  • 14browser tools (+4 reserved), one open protocol
  • 13actions in the unified computer tool
src/background/tools/tool.ts
// Every tab-targeting tool runs this guard first. The boundary is
// structural: the agent can only ever act inside the dedicated
// automation tab group — never your real, logged-in tabs.
async execute(args: Record<string, unknown>, ctx: ToolContext): Promise<ToolResult> {
  const tabId = Number(args.tabId)
  if (!Number.isInteger(tabId)) return text("tabId is required and must be a number.")
  if (!(await ctx.tabGroup.isInGroup(tabId))) {
    return text(`Tab ${tabId} is not in the MCP group.`)   // refuses, doesn't trust
  }
  return this.run(tabId, args, ctx)
}
How it works

A short path from teardown to shipped

Productized and fixed-scope, so the risk to you is small and the timeline is real.

  1. 01

    Teardown

    We start with a specific teardown of where your product is leaking agent-driven usage — and where the security gaps are. Concrete, not a sales call.

  2. 02

    Scoped SOW

    A fixed-scope, fixed-price one-pager. You know exactly what ships and when, before any code is written.

  3. 03

    Ship in weeks

    Production-grade from the first commit — scopes, auth, audit, and evals — not a prototype you have to harden later.

  4. 04

    Eval & iterate

    Copilots regress as models and your product change. We keep the eval suite green and add tools as you ship new features.

Secure by default

The hard layer, shipped as standard

Every engagement includes the parts teams usually skip. These aren't add-ons - they're the reason the work is safe to put in front of real, multi-tenant users.

Per-tool authorization & scopes
OAuth 2.1 / PKCE-ready auth
Structured audit trail on every call
Human-approval gates for destructive actions
SSRF & input guards
Eval suites that catch regressions
FAQ

Questions, answered plainly

Short, direct answers - the same way we'd explain it on a call.

It is the authorization, isolation, and audit layer that sits between your product and the AI agents calling it. A bare MCP server just exposes your endpoints; a secure layer adds per-tool scopes, multi-tenant isolation, OAuth, human-approval gates for destructive actions, and an audit trail you can hand to a security review.

Add the secure copilot layer your product is missing.

A 15-minute call to see if it's a fit. No pitch - we'll walk through where your product can be driven by agents and how to ship it safely.