We design and build custom software with MCP integration baked into the architecture. Your systems ship ready for AI agents to read, write, and act on your behalf.
Agent-first software is built from the ground up with the assumption that AI agents, not just humans, will interact with it. Every data model, API endpoint, and workflow is designed with a corresponding MCP server layer that exposes Tools, Resources, and Prompts to any connected agent. This means your software doesn't just have a user interface; it has an agent interface. The result is a system where AI agents can autonomously query data, trigger actions, and follow complex workflows without brittle custom integrations or screen-scraping hacks.
Pick the entry point that matches your readiness. Most teams start with Discovery — and the fee converts into the Build engagement when you're ready to ship.
Define the agent surface area before you commit to a build.
From $25k USD
2 weeks
Ship the production system with MCP from day one.
From $120k USD
12–20 weeks
Expand the agent surface across your business.
From $18k USD/mo
Ongoing retainer
Budget figures reference engagements we delivered in the last 12 months. Your specific scope and price are finalized at the discovery call.
We build on Amazon Web Services for reliable, scalable cloud infrastructure. From compute and storage to managed databases and serverless functions, AWS gives us the building blocks to deploy production-grade systems that grow with your business.
Every piece of infrastructure is defined as code using Terraform. This means your environments are reproducible, auditable, and version-controlled. No manual server configuration, no snowflake deployments, no surprises when it's time to scale.
We use Anthropic's Claude Code as our AI-powered development partner throughout the build process. It accelerates everything from code generation to architecture validation, letting us ship faster without sacrificing quality or security.
MCP is the open standard that makes your software agent-ready. We build MCP server layers that expose your system's capabilities as Tools, Resources, and Prompts, giving any compatible AI agent a structured, secure way to interact with your data and workflows.
We map your business processes, identify the workflows that matter most, and define exactly what your software needs to do for both human users and AI agents. You walk away with a clear project scope and a shared understanding of what success looks like.
We design the system architecture with MCP integration as a first-class concern. Every service, data model, and API is planned alongside its corresponding MCP server layer so agents have structured access from the start, not as an afterthought.
Our engineering team builds your software in iterative sprints with continuous delivery. You see working software every week, and every component ships with its MCP server layer tested and functional alongside the human-facing interface.
We connect real AI agents to your MCP servers and validate that they can perform the workflows you defined in Discovery. This is where your software comes alive: agents reading data, triggering actions, and running processes autonomously.
12 wk
Median time to live agent system
From kickoff to a deployed system with at least one agent in production.
8+
Avg. MCP capabilities per build
Tools, Resources, and Prompts shipped per engagement — not promised, shipped.
100%
Code ownership for your team
You own all source, infrastructure, and documentation from day one.
“When AI agents are a primary user from launch, you avoid the painful retrofit phase that kills most enterprise AI initiatives. We build the agent layer alongside the human layer — not after it.”
Lorena Campos
Director, Humind Labs AI
That's fine — we provide the AI engineering, your team focuses on the domain logic. We pair with your existing engineers throughout, and by handoff your team can extend the MCP layer independently.
Yes. MCP is provider-agnostic — the same MCP layer works with Claude, GPT, custom agents, or future models. We default to Claude for agent integration testing because it has the most mature MCP support, but the system isn't locked in.
We've built for SOC 2 Type II environments and PIPEDA / HIPAA-adjacent workloads. We default to AWS for residency control, build with audit trails, and align scoping with your compliance team early. We don't take engagements where compliance is treated as an afterthought.
Yes — 60 days post-handoff for any defects in delivered code, plus a 1-year retainer option at preferred rates if you want us to stay engaged as your agent surface expands.
This service is for SMBs building new software products or internal platforms and want them ready for the AI agent era from launch. If you're starting a new project and don't want to retrofit AI capabilities later, this is the path that saves you time and money.
Get in touch and we'll map out what agent-ready software looks like for your business.
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