MCP Servers That Connect AI to the Systems You Already Run
The Model Context Protocol is becoming the standard plug between AI and software. We design, build, and run MCP servers that expose your systems as typed, permissioned tools, so any AI client can use them safely. From a team already running a couple hundred tools in production.
What MCP gives you
One protocol that turns a tangle of custom integrations into a single, reusable surface.
One integration, every AI client
Expose a system once and Claude, Cursor, your own app, and autonomous agents can all use it. M+N instead of M×N: no bespoke glue per tool.
Typed, permissioned, audited
Every read and write goes through one schema-validated door, with identity and permissions enforced centrally rather than trusted to the model.
Wrap what you already run
Put a modern, conversational interface on legacy ERPs, CRMs, and databases without touching their core. The MCP server is the adapter.
What we build
Production MCP, not a proof of concept.
Custom MCP servers
Your systems — ERP, CRM, spreadsheets, databases, internal APIs — exposed as typed, discoverable tools.
Safe writes, human-in-the-loop
Dry-run previews and one-tap confirmation, so AI proposes and a human commits. No silent writes to your data.
Multi-client by default
The same tools power desktop AI apps, agents, and chat bots on WhatsApp and Telegram — built once, used everywhere.
Production-grade
Auth, schema validation, idempotency, health checks, and observability: the unglamorous parts that make it reliable at scale.
How we work
A focused path from your systems to a server your AI clients can use.
Map your systems
We learn what you run and decide what's worth exposing as tools, with the people who use it.
Expose typed tools
We build the MCP server: schemas, auth, permissions, and dry-run previews for every write.
Connect your AI clients
Claude, Cursor, agents, and chat bots all connect to the one server through a single endpoint.
Ship and operate
Production hardening, monitoring, and ongoing operation, so it keeps working as your systems change.
Frequently Asked Questions
What is MCP?
MCP (the Model Context Protocol) is an open standard that gives AI models a uniform way to call tools and read data from external systems. You expose your systems once as an MCP server, and any MCP-capable AI client can use them, without bespoke integration code for each one.
Do I need MCP, or just an API integration?
Use MCP when more than one AI client will touch the system, when you're exposing many capabilities, or when humans and agents drive the calls. A plain integration is fine for a single deterministic machine-to-machine pipeline with no model in the loop.
Is it safe to let AI write to my systems?
Yes, because the model never writes directly. Writes run as a dry-run first, the user confirms a clean preview, and only then does the action commit. Every call is schema-validated and permission-checked at the MCP boundary.
Does it work with my existing or legacy systems?
Yes. The MCP server sits in front of your existing APIs, databases, and ERPs as a thin adapter. You keep your systems and the rules they encode; we add the modern, AI-friendly interface on top.
Which AI clients can use it?
Any MCP-capable client: Claude Desktop, Cursor, autonomous agents, and your own applications, plus messaging bots on WhatsApp and Telegram. The same server serves all of them.
