The assistant doesn't know our prices, stock or customers, so we paste data in by hand
We build an MCP server with the tools you need: customer lookup, order status, stock check. The assistant pulls data from the system mid-conversation.
An AI assistant that works with your data and systems
An MCP server (Model Context Protocol, the open standard AI assistants use to talk to external tools) lets Claude, ChatGPT or your own agent read your CRM, database, sheets and inbox. The assistant stops guessing and works with live data.
Quote and schedule after your brief
Who it's for
- Companies with a CRM, ERP or internal database where staff look up data by hand
- Teams already using Claude or ChatGPT who copy data from systems into chat
- SaaS products with an API that want customers' AI assistants to use their service
- Founders building an AI agent who need safe access to business systems
Problems we solve
I'm afraid the AI will break something or see too much
We start with read-only access. Write actions are added one at a time, with human confirmation and a log of every call.
Our system is old and has no proper API
We look at what exists: database, exports, web interface. Sometimes a thin adapter layer is needed. If an integration would be fragile, we say so in the estimate.
We had an integration built once and it broke after an update
Every tool gets tests and documentation. Code, keys and access are handed to you, so anyone can maintain it.
What's included
- Systems audit and selection of 3–8 actions the assistant should perform
- Tool design: names, parameters and descriptions a model can use reliably
- MCP server development (TypeScript or Python) on the official SDK
- Connection to your CRM, database, sheets, email or own API
- Authentication: separate keys, roles, least-privilege access
- Human confirmation for risky actions (delete, payment, bulk send)
- Call logging and rate limits
- Deployment on your server or cloud, under your account
- Tests, instructions and setup in Claude, ChatGPT or your agent
- Handover of code, keys and access
Choose the scope
Use a package to describe what you need. We agree on the quote and schedule after reviewing your brief and requirements.
01
Pilot
Testing the idea on one system quickly
- 1 system, up to 3 tools
- Read-only access
- Connected to one assistant
- Pilot with a measurable KPI, such as time to find data
02
Working
Companies where the assistant must read and act
- Up to 2 systems, up to 8 tools
- Write actions with confirmation
- Roles and call log
- Deployment and documentation
03
Product
Services giving customers AI access to their product
- Public MCP server for your API
- OAuth for your customers
- Rate limits, monitoring, docs
- Tests and security scenarios
How we work
Brief and requirements
You describe the task and current workflow. We clarify requirements, choose a first stage and prepare a quote.
Access audit
We check the API, permissions and data quality, and decide which actions are safe to give the assistant.
Pilot with a KPI
We build a minimal server and measure it on real requests against a metric agreed in advance.
Expansion
We add tools and write actions, each with its own tests and limits.
Handover
You get the code, accounts and docs. Payment is in stages, and everything is yours under the agreed terms.
Scope and limits
- We don't promise the assistant will never err: a model may pick the wrong tool, which is why confirmations and logs matter
- We don't connect systems without official access or the owner's consent
- We don't guarantee results for systems with no API or export; we check what's feasible first
FAQ
What is MCP in plain terms?
It's an open standard describing how an AI assistant calls functions in an external system. You build the server once, and any assistant that supports the protocol can use it.
Which systems can be connected?
CRMs such as HubSpot, Pipedrive or Salesforce, Google Sheets, PostgreSQL or MySQL databases, email, task trackers, or your own API. We check access and rate limits for each one first.
Is it safe to give AI access to company data?
It can be, if permissions are tight. We use separate keys limited to the needed actions, keep a call log and require confirmation for changes. Data shouldn't leave the system unless necessary.
What do you need from me?
Access to the systems (a test environment if possible), 3–5 typical tasks, and someone who knows the process. All accounts and keys stay with you.
How much does it cost and how do I pay?
Payment terms are agreed with the quote before work starts. For a staged project, we describe the result and acceptance criteria for each stage. Support and third-party services are listed separately.
What happens after launch?
You receive the code and documentation and can maintain everything yourself. If you prefer, we can take on support under a separate agreement. There is no lock-in.
Start with your task
Describe your business, the outcome you need and your current workflow. We will clarify the requirements and prepare a quote after your brief.