MCP servers and tools, built for how you already work.
An MCP server exposes your company's data and actions to AI assistants such as Claude, Cursor or VS Code through the Model Context Protocol, under your own permissions. We build it together with the internal tools and CLIs around it.
Custom internal tools
The dashboard, queue, or console your team keeps rebuilding in spreadsheets, built once, properly, with your real permissions model.
Agentic apps for marketing & content
Systems that draft, review, and route content with your standards encoded, not a generic model guessing at your voice.
Custom MCP servers
Your internal data and actions exposed to AI clients through a governed MCP surface, so assistants work on real company context.
CLI tools
The commands your engineers use twenty times a day, made fast, scriptable, and safe to run in production.
The tool you keep rebuilding.
A manager who can describe the tool but not build it
You know exactly what the screen should show and who should be allowed to act on it. There is nobody internally to build it, and it is too specific to buy.
A company running its operation in spreadsheets
The work is real and the sheet has become the system of record. It cannot hold your permissions, it cannot be audited, and one person owns all the formulas.
A team with an internal tool that outgrew itself
Someone built the first version and it is now load-bearing. It has no permissions model, no audit trail, and nobody wants to touch it. It becomes the specification, and the tool is rebuilt properly.
From workflow to adoption.
- 01
Workflow
How the team works today, and what it keeps rebuilding by hand to get through the week.
- Your existing workflow
- What keeps being rebuilt
- 02
Permissions
Who may see what, who may act, and what has to be recorded when they do.
- Your real permissions model
- Audit trail
- 03
Design
Data, surfaces and boundaries, the MCP and CLI ones included, written before code.
- Documented architecture
- A governed MCP surface
- 04
Build
The tool itself: the dashboard, queue or console, built once and built properly.
- Dashboard, queue or console
- CLI tools
- 05
Rollout
Deployed for the team that asked for it, and safe to run against production.
- Deployment and monitoring
- Safe to run in production
- 06
Adoption
Documentation for your own team, and support for six to twelve months.
- Docs for your own team
- 6 to 12 months of support
Asked before we build.
What is an MCP server?
An MCP server is a service that exposes a company's data and actions to AI assistants through the Model Context Protocol, an open standard introduced by Anthropic. Any MCP client, such as Claude Code, Cursor, VS Code or Claude Desktop, can then work on real company context under the permissions you set.
What is the difference between an MCP server and an API?
An API is written for other software; an MCP server describes tools and data so an AI assistant can discover and use them. It usually sits on top of the APIs you already have and adds what agents need: scoped roles, a record of every action, and approval for steps that cannot be undone.
When should a company build its own MCP server?
When AI assistants need to work on your own systems: internal data or actions no public MCP server covers, or access that must follow your real roles and leave an audit trail. If a maintained public server already does the job, a build-or-buy review says so, including when the answer is not us.
Is it safe to connect an MCP server to production systems?
It can be, when access is designed before anything is connected: roles scoped per person and per agent, every action logged with who, when and from where, and steps that cannot be undone waiting for an owner. That is how ilinxa edge runs its own MCP, with Read only, Editor or Everything presets.
Why an MCP server rather than another integration?
Because one governed surface serves every AI client, instead of a new connector per assistant, and the same permissions and audit trail apply to agents as to people. It is how we run ilinxa edge: people in the admin, developers in the ilx CLI, agents through MCP, under one set of roles.
Does it fit the systems we already run?
That is the starting point. We begin from how your team already operates and connect to what exists, rather than asking the company to work the way a vendor imagined.
Who can use it, and what can it reach?
Your real permissions model applies, not a simplified copy of it. Access is scoped per role, and what people do in the tool is recorded so it can be audited later.
How much does a custom MCP server or internal tool cost?
There is no list price: it is priced as one engagement once the workflow and permissions are written down. The figure follows which of the scope items you need (internal tool, agentic content app, MCP server, CLI), the ownership model and whether deployment is included.
Bring us the hard part.
The sales conversation is free. Paid consultation is available when the guidance itself is the deliverable.