MCP servers
Model Context Protocol became the standard way agents reach corporate systems. For an assistant to work with your data it needs an MCP server — essentially an integration layer with access rights and an audit trail. We have been building integrations since 2015; only the protocol is new.
What's included
- MCP servers for CRM, ERP, warehouses and internal APIs
- Access rights, call auditing and limits on what the agent may do
- Connection to ChatGPT, Claude and your own agents
- Deployment and support: scaling, versioning, monitoring
Technologies
How we work
- 01
Brief and estimate
We look at the task, your current system and constraints, then name the timeline and budget and suggest how to work together.
- 02
Specification
We capture requirements and acceptance criteria in a specification — it is what we build against and how the result is accepted.
- 03
Iterative development
You see the result after every iteration; we test and fix before anything goes into a release.
- 04
Launch and support
We ship with no downtime, monitor the product after launch and stay on for support if you need it.
Cost and timeline
Hourly Rates: from 1 800 ₽ to 3 500 ₽ / hour — depending on specialist qualification.
We give an exact timeline and budget after a brief: we break down the task, fix the scope and suggest a format — a fixed plan or hourly work.
See plansFAQ
Which systems can be connected to an AI agent via MCP?
Any system with an API, a database or file exchange: CRM, ERP, warehouse management, helpdesk, internal services. If there is no ready API, we build an integration layer on top of what is available. One MCP server works with ChatGPT, Claude and your own agents.
How do you stop the agent from doing things it shouldn't in our systems?
The MCP server exposes only the operations we agree on, read and write are separated, and permissions are inherited from the user via OAuth 2.1. Every call goes into an audit log. Risky actions can require explicit human confirmation.
How much does an MCP server cost and how long does it take to build?
It depends on the number of systems and operations and on the state of their APIs, so we estimate after a short brief. After launch we can take the server into support: versioning, scaling, monitoring. You can work with us hourly or on a fixed monthly plan.
MCP servers
We connect your systems to AI agents over MCP: CRM, ERP, databases and internal services.