MCP — Model Context Protocol — is the open standard, created by Anthropic, for connecting AI assistants to the tools and data they need to be useful. Think of it as a universal, secure adapter: instead of an AI that can only chat, you get one that can read your documents, query your systems, update your records, and take real actions — inside limits you set. We build both sides of that connection, shaped around the tools you already run.

What MCP actually does for you

Turns "talk" into "do." Your AI stops being a clever chatbot and starts working inside your real systems.
One secure doorway, not a tangle of one-off integrations. Build the connection once; reuse it everywhere.
Works across the tools you already use — Claude Desktop, Claude Code, Cowork, and your own apps all speak the same protocol.
You stay in control. You decide exactly what the AI can see and do, with approvals and a full audit trail.

Servers and clients — we build both sides

MCP servers wrap your tools, data, and systems — a database, an internal API, a SaaS you depend on, your file store — so any compatible AI can use them, with your permission.
MCP clients put MCP inside your own apps and agents, so your software can tap the fast-growing ecosystem of MCP tools — and the servers we build for you.

What people have us build

A server that safely exposes an internal database or knowledge base to Claude.
Connecting Cowork or Claude to a CRM, ticketing, or billing system, so the AI can act, not just answer.
A private MCP server for a team's documents and procedures.
MCP wired into a custom agent so it can work across the whole stack. (Pairs naturally with a custom agentic harness.)
A bridge to a legacy or internal API that no AI tool understands out of the box.

What's included

Scoping around your real tools and what you want the AI to actually do
A standards-compliant server or client, built to spec and to last
Authentication, fine-grained permissions, and audit logging
Safe by default — the AI only touches what you approve
Works with Claude (Desktop, Code, Cowork) and any other MCP-compatible client
Documentation, training, and support after launch

The technical bit, for those who want it

We build to the full MCP spec — tools, resources, and prompts — over stdio or streamable HTTP, with OAuth where it fits. Servers deploy to your infrastructure or ours, in TypeScript or Python, and ship tested and observable. Because MCP is an open standard, you're never locked in: the same server works with Claude today and any future MCP client tomorrow.

Who it's for

Businesses that want their AI to do real work across their systems — and technical teams who want it built properly: secure, standard, and maintainable, instead of a pile of brittle scripts.

How we work

We start with a short conversation about your tools and what you'd like the AI to do with them. We build a small, high-value connection first — one server or client that immediately earns its keep — then expand as you see what's possible. It's a true custom build, the same way we approach all our software and automation work, with you in control of every permission the whole way. If you want your whole team working with AI like this, we help with that too, through agentic adoption.

Want your AI to actually use your systems? Let's talk — we'll map your tools and start with the connection that's worth the most.