Talks, can't look up
Your AI assistant can draft an email about an order, but it can't look the order up.
MCP Integrations
MCP Servers and AI Integrations
The Model Context Protocol is an open standard that lets AI assistants use your tools and data through one defined interface instead of a separate custom integration for every system. An MCP server is the piece that exposes your CRM, database or internal API to an AI agent, with proper authentication and access control. We build these in two to four weeks.
In practice01 02 03 04
Does this sound familiar?
Rebuild every tool
You built integrations for one AI tool, and now a second tool needs the same access.
No audit trail
Compliance wants to know exactly what the model can see and what it did.
No connector exists
Your internal software has no off-the-shelf connector and never will.
Context
Why assistants can't touch your systems today
You've probably noticed that AI assistants can talk about your business but can't touch anything in it. The gap is that the assistant has no safe, structured way to reach your systems.
That's the problem MCP solves. It's an open standard, introduced by Anthropic at the end of 2024, that has since been picked up across the industry. Instead of building a separate integration for every combination of AI tool and internal system, you build one server per system and any compatible AI tool can use it.
What we build
What we build
System servers
Expose your CRM, ERP, database or internal API to AI assistants through a defined tool interface.
Custom software
Servers for software you built yourself, where no off-the-shelf connector exists and never will.
Security layer
Authentication, scoping so the model only sees what it should, and audit logging so you can see what it did.
How we work01 02 03
How we work through it
03 stepsScope and access model
Which systems, which operations, who can trigger what.
Week 1Server build
MCP server per system with auth, scoping, and structured tool definitions.
Weeks 2 to 3Test with agents
Connect to your AI tools and run real scenarios with audit logs.
Week 3 to 4Investment
What shapes the cost
A server exposing one system with a clean API is a small piece of work. It grows with:
- Part 01
Number of systems
The number of systems involved.
- Part 02
Access and audit
How much access control and audit logging you need.
- Part 03
API quality
Whether the underlying software has a sane API or has to be worked around.
- Part 04
Scoped before quoting
We scope it against your systems before quoting.
Good fit matters
When you don't need this
If you need one AI tool to reach one system and you have no plans beyond that, a direct integration is simpler and cheaper. MCP earns its cost when you have several systems, or several AI tools, or you expect to add more of either.
Options
How the options compare
| Criteria | MCP server (us) | Direct integration | Manual lookup |
|---|---|---|---|
| Upfront cost | Fixed per system, scoped upfront | Lower for one tool, one system | None |
| Works with multiple AI tools | Yes | No, one tool at a time | N/A |
| Audit trail | Built in | Depends on build | None |
| Custom internal software | Yes | Yes | Humans only |
| Maintenance as you add tools | Add a client, not a new integration | New integration each time | N/A |
MCP server (us)
Upfront cost
Fixed per system, scoped upfront
Works with multiple AI tools
Yes
Audit trail
Built in
Custom internal software
Yes
Maintenance as you add tools
Add a client, not a new integration
Direct integration
Upfront cost
Lower for one tool, one system
Works with multiple AI tools
No, one tool at a time
Audit trail
Depends on build
Custom internal software
Yes
Maintenance as you add tools
New integration each time
Manual lookup
Upfront cost
None
Works with multiple AI tools
N/A
Audit trail
None
Custom internal software
Humans only
Maintenance as you add tools
N/A
FAQ
Frequently asked questions
KaziHasan Ali
Founder & Principal Engineer at YeasiTech. Builds production web, mobile and AI products, and writes from work shipped since 2018. More at kazihasanali.com.
Tell us what you're trying to build
Fifteen minutes, no deck. Bring us a workflow that's eating your team's time, or a product idea you want built, and we'll tell you what we think it takes, what it roughly costs, and whether it's worth doing at all. Sometimes the answer is no, and we'll say so.
+91 8910704554(WhatsApp available)
ask@yeasitech.comMon-Fri, 10AM-7PM IST (Overlaps with UK, EU, Middle East & Australia)