Anthropic · Technologies
Model Context Protocol
Connect your systems to AI once, not once per vendor.
The Model Context Protocol is the open standard that connects AI to your systems, tools and data. Anthropic created it and gave it to the industry, and it is now supported by OpenAI, Microsoft, Google and hundreds of server implementations. We build and run MCP connections in production, including on our own infrastructure.
MCP CONNECTIONS · EXAMPLE ESTATE
SERVER
EXPOSES
USED BY
STATUS
CRM-Server
Accounts and deals
Sales agents
LIVE
Docs-Server
Knowledge base
Support agents
LIVE
Finance-Server
Read only reports
Analysts
LIVE
Permissions
Scopes per agent
Security
REVIEW
unmanaged-server
Unknown owner
Unknown
RISK
Sample estate
live · review · risk
In plain terms
Every AI integration used to be a one off. MCP ends that.
One protocol between your systems and every AI tool that speaks it. Here is what changes.
Without it
- A custom integration for every AI tool and every system
- Work redone each time a vendor ships a new product
- Access rules scattered across one off connectors
- Integration effort that dies with the project
With it
- One server per system, reused by every MCP client
- New AI tools connecting to what you already built
- Access scoped and governed in one place
- Integration work that compounds instead of expiring
What CG TECH can do with the Model Context Protocol
The work, broken into the parts that matter.
Not a bet on one vendor
Anthropic open sourced MCP and it is now the default way AI connects to systems, supported across the major AI vendors and hundreds of servers. Building on it is building on the industry, not a product.
the standard the industry settled on
Your systems, exposed safely
We build MCP servers for the systems that matter to you, from CRMs and finance platforms to bespoke line of business software, with scoped permissions on exactly what each agent may see and do.
your systems, exposed on your terms
Do not build what exists
Hundreds of ready made servers cover the common platforms, so many connections are configuration rather than code. We separate the buy from the build honestly.
configuration before code
A protocol is not a permission slip
Authentication, scoping and audit on every connection, because a badly governed MCP server is a door left open. We treat connection security as part of the build, not an afterthought.
connected and governed
How an engagement runs
From one off integrations to a connected estate, step by step.
01
Map
We inventory the systems your AI work needs to reach.
02
Design
Servers, scopes and governance designed before connection.
03
Build
Servers live, tested and documented, buy before build.
04
Handover
A connection estate your team owns and extends.
Questions we hear a lot
Common questions about the Model Context Protocol
What is MCP in plain terms?
A standard plug between AI and your systems. Build the connection once as an MCP server and any AI tool that speaks the protocol can use it, with your rules attached.
Is MCP only for Claude?
No. Anthropic created it, but it is an open standard supported by OpenAI, Microsoft, Google and a large ecosystem of tools and servers. Connections you build are portable across vendors.
Is it safe to connect our systems to AI?
With proper design, yes. Each server exposes only what you choose, with authentication, scoped permissions and audit. We treat every connection as a security boundary.
Do we need to build our own servers?
Often not. Hundreds of pre built servers exist for common platforms. Custom servers matter for your bespoke and line of business systems, and that is where we do our best work.
Why does an open standard matter here?
Because it stops every integration being rebuilt for each AI tool. Anthropic created MCP and gave it to the industry, and it is now supported by OpenAI, Microsoft and Google. A connection you build once can serve whichever assistant you use next year.
What does an MCP connection actually let Claude do?
Read from and act on the system at the other end: query a database, look up a record, file a ticket, fetch a document. The difference from pasting information into a chat is that the AI reaches current data itself, under permissions you set.
How do we control what a connection can reach?
By scoping it deliberately and reviewing it. A connection should expose the smallest set of actions the job needs, run under an identity you can audit, and be listed somewhere so it is not forgotten. Broad access granted once and never reviewed is the risk.
How long does a first connection take?
A straightforward one to a system with a decent interface is usually days. The time goes into deciding what it should be allowed to do and getting that agreed, rather than into the building.
Ready when you are
Connecting AI to your systems? Let us talk.
A discovery session maps your systems, your risks and your quick wins. You keep the plan either way.
What to expect
- A consultant replies within 4 business hours
- Session booked to understand your requirements
- We will provide you with a fixed price quote