AI and LLM Integration
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Make your app or database ready for AI assistants through MCP
People now ask AI assistants to look things up and do things for them. If your application cannot be reached by those assistants, it gets left out. We make it reachable, with tight limits on what an assistant may see and do.
What it is
Make Your App AI-Ready (MCP): what you get
The Model Context Protocol (MCP) is a standard way for AI assistants to connect to other software and use it. We build an MCP server for your existing app or database, along with a clean REST API where one is missing. The assistant can then look up records, run approved actions and report back, using your system as the source of truth.
The work is mostly about limits. We expose a small set of narrowed tools rather than the whole database. People sign in with your business's own accounts, so the assistant sees what that person may see and no more. Access is read-only by default, and anything that changes data is switched on deliberately, one action at a time. Every call is written to an audit log, and rate limits stop runaway use.
This works with any AI model or provider, including models you host yourself. The same server can serve several assistants, so you are not tied to one. We also build the surrounding pieces when needed, such as access rules, logging and a safe path for write actions that waits for a person's approval.
Looking for shared, governed memory across your people and AI tools? See cMCP, our own product.
Problems we solve
Typical problems this solves
AI assistants cannot reach your data
Staff paste figures into chat windows by hand. An MCP server lets the assistant fetch the right records directly.
Fear of giving AI too much access
We expose narrowed tools, not the whole database, and start read-only. Write actions are added one at a time.
Everyone sharing one powerful key
Sign-in with your own business accounts means each person's assistant sees only what that person is allowed to see.
No record of what the AI did
An audit log records which tool was called, by whom and when, so you can review and investigate.
An old application with no clean API
We build a tidy REST API first, which also helps your mobile apps and integrations, then place the MCP server on top.
Deliverables
What we deliver
- An MCP server for your app or database, with a small set of narrowed tools
- A clean, documented REST API where your system has none
- Sign-in with your business's own accounts, and access rules per person
- Read-only by default, with write actions added deliberately and with approval where needed
- An audit log of every call, and rate limits
- Testing with the AI apps you use, plus documentation and handover
Technologies we use
- Model Context Protocol (MCP)
- REST APIs
- OAuth / OpenID sign-in
- JSON schema
- Any AI model or provider
- Self-hosted models
- Python
- TypeScript
- PHP
- MySQL / MariaDB
- PostgreSQL
- Audit logging
- Docker
We work in any language. See all technologies.
Built and running
Work we have built and run
Examples from our own work, described without client names.
- cMCP, our own product: a governed shared memory for company AI, connected to AI apps over MCP and REST.
- An AI advisor chat for a website, with daily budget caps and no storage of visitor messages.
Engagement
How the engagement works
It starts with a free consultation. You tell us which system you want assistants to reach and what you want them to do with it. We look at the data and the risks, propose the first few tools, and give you a written estimate.
We usually begin with read-only access to a small part of the data, test it with the assistants your staff already use, and review the audit log together. Write actions come later and only where you want them. You keep the code and decide where it runs.
Questions
Common questions
What is MCP in plain terms?
MCP is a standard that lets an AI assistant connect to other software and use it in a controlled way, like a common plug between AI apps and your systems.
Can the AI change or delete my data?
Only if you decide it should. Access is read-only by default. Any action that changes data is added deliberately, and can wait for a person to approve it.
How do you control who sees what?
People sign in with your business's own accounts, and the server applies the same access rules to the assistant that apply to that person.
Does it work with any AI app?
MCP is an open standard, so it can serve any AI app that supports it, and we also provide a REST API for tools that do not. We test with the apps you use.
Have you built this before?
Yes. cMCP is our own product, and it connects to AI apps over MCP and REST.
How do you charge?
We do not publish prices. After a free consultation we give you a written estimate, so you know the scope before you commit.
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Tell us what you need built
Describe the problem, the system or the idea. We offer a free initial consultation and a written estimate, and you will talk directly to the developer who would build it.