vx vxlabs.
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We make companies AI-Ready.

vxlabs is an AI product studio. We build MCP servers, AI agents and full-stack products that plug straight into the systems your business already runs on.

  • 12+ years shipping software
  • Open-source on npm
  • MCP & AI agents
  • .NET · TypeScript · Flutter

The stack behind our products

  • C# / .NET
  • ASP.NET Core
  • TypeScript
  • Node.js
  • NestJS
  • React
  • Astro
  • Flutter
  • Expo
  • SQL Server
  • PostgreSQL
  • Claude API
  • Gemini
  • MCP
  • Ollama
  • Docker
  • Cloudflare
  • Claude Code
Years building production software
12+
Years building production software
Products designed, built & shipped
11+
Products designed, built & shipped
Languages supported by cgb, our open-source tool
11
Languages supported by cgb, our open-source tool
Web, mobile & AI — end to end, under one roof
1 team
Web, mobile & AI — end to end, under one roof
What we do

One studio for AI, product and platform.

We bring a builder's mindset to every engagement — strategy when you need it, shipped software always.

AI integration & consulting

We find the workflows where AI saves real hours, then connect models to your data with guardrails, logging and human approval built in.

MCP server development

Expose your CMS, CRM or internal APIs to Claude and other assistants through secure, scoped MCP servers.

SaaS product builds

From idea to paying customers — multi-tenant platforms with billing, admin panels and analytics.

Mobile apps

Cross-platform Android and iOS apps in Flutter and Expo, with offline sync, push and payments.

.NET modernisation

Move legacy .NET to modern ASP.NET Core in safe stages — and make it ready for AI features.

Infrastructure & DevOps

CI/CD, release pipelines with rollback, monitoring and hosting you never have to think about.

How we work

From first call to production, fast.

A simple, transparent process built for founders and busy teams.

  1. 01 Week 1

    Discover

    A free call, then a written proposal with scope, milestones and a fixed quote.

  2. 02 Weeks 1–2

    Prototype

    A clickable or working prototype, so you see the product before committing to the build.

  3. 03 Weeks 2–8

    Build

    Weekly demos and a staging link. You see progress every week, not at the end.

  4. 04 Ongoing

    Ship & support

    Launch, app-store releases, monitoring and a support plan that keeps it running.

Our work

Products we've shipped.

SaaS platforms, mobile apps, AI tools and MCP servers — built end to end by vxlabs.

All projects
Open source

Tools we give back.

Developer tools and MCP servers we built for ourselves, shared with the community.

cgb — Code Graph Builder

Available

CLI, library and MCP server that maps how a codebase connects and hands AI assistants compact, relevant context bundles.

npmCLIMCPMIT

Documentation MCP

Coming soon

An agentic documentation MCP server that uses a vector database to write and retrieve context-aware project docs.

MCPAgentic AIVector DB
FAQ

Questions, answered.

Everything you need to know about working with vxlabs on AI, MCP and product builds.

Still have questions?

Book a free 30-minute call and we'll walk you through it.

What does vxlabs do?

vxlabs is an AI product studio. We help companies become AI-ready by building MCP servers, AI agents and AI-assisted workflows on top of their existing systems, and we design and ship complete SaaS platforms, mobile apps and developer tools.

What kind of products have you built?

Our portfolio includes a gym management SaaS, a local jobs marketplace app, an offline-first personal ledger app, an AI-assisted platform for insurance surveyors, an offline AI caption editor for creators, a multi-tenant CRM, an internal operations platform with AI coding agents, and open-source developer tools such as cgb (Code Graph Builder) on npm.

What is an MCP server and why would my company need one?

MCP (Model Context Protocol) is an open standard that lets AI assistants such as Claude securely use your tools and data. An MCP server exposes your systems — a CMS, CRM, database or internal API — as tools the AI can call, so your team can ask an assistant to look things up or take actions instead of switching between dashboards.

What does "making a company AI-ready" actually involve?

We start by finding the workflows where AI saves real time, then connect AI to the systems those workflows depend on. That usually means MCP servers or APIs over your data, agent workflows with human approval steps, guardrails and logging, and training your team to use the new tools day to day.

Is our data safe when we connect it to AI?

Yes, when it is designed properly. We use scoped API keys, read-only modes where possible, role-based access, audit logs and human approval for any action that changes data. Where privacy requires it, processing can run on local models so data never leaves your infrastructure.

How does a project with vxlabs start?

It starts with a free discovery call. We learn about your goals and constraints, then send a written proposal with scope, milestones, timeline and cost. Once agreed, we begin with a short prototype so you see working software early.

How long does it take to build an MVP?

A focused MVP typically takes 4 to 10 weeks depending on scope, integrations and platforms. An MCP server or AI integration for an existing system is often delivered in 1 to 4 weeks.

Who owns the code and intellectual property?

You do. Once the project is paid for, the source code, designs and documentation belong to you, and we hand over repositories, credentials and deployment documentation.

From the blog

Latest articles

AI tools, security news and dev workflows — notes from the studio.

Let's build your AI-ready product.

Tell us what you are working on. We will reply within one business day with ideas, a rough plan and next steps.

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