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MCP
Stack · AI & Agents

Integrating MCP

We design and build MCP servers to connect your internal tools, databases and APIs to Claude AI agents. AI that acts inside your system, not alongside it.

Senior product team · MCP in production · from scoping to deployment
In short

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard created by Anthropic to connect AI models to external data sources and tools. An MCP server exposes resources and tools that the AI can use directly. It's the protocol that lets Claude act inside your system, not just respond.

The tech

Why we build with MCP

01

Open, future-proof standard

The Model Context Protocol is supported by Claude, Cursor and GitHub Copilot. An MCP server built today will work with the next generation of models.

02

Resources & Tools

Resources expose data (read), Tools expose actions (writes, API calls). The AI combines both to accomplish complex tasks.

03

Security & control

You control exactly which data and which actions the AI can access. The MCP server is your security perimeter.

04

Native TypeScript SDK

Official TypeScript/Python SDK. Building a simple MCP server takes a few hours. Complex servers, a few days.

For you

What MCP changes for your company

Connect an application to an AI with MCP: no more generic assistants disconnected from your real context.

01

AI grounded in your data

Claude reaches your CRM, your ERP, your customer base: and answers with your context, not generalities.

02

Automating repetitive tasks

The MCP agent runs queries, creates tickets, sends emails: the repetitive workflows handed off to AI.

03

Integration without a rebuild

The MCP server sits in front of your existing system. No need to rebuild your architecture to benefit from AI.

04

A standard that lasts

MCP is being adopted across the industry. What you invest today works with future AI models and tools.

Our expertise

Our MCP expertise, in numbers

1 day
for a simple MCP server in production
20+
MCP connectors built
x10
less time spent on repetitive tasks
100 %
control over your data and actions
Use cases

What we connect with MCP

AI access to your PostgreSQL database
MCP server for your CRM (Salesforce, HubSpot)
GitHub / Jira connector for dev agents
MCP interface over your internal REST APIs
Access to company files and documents
Slack / email integration for autonomous agents

We combine MCP with

The stack that surrounds MCP on our projects.

ClaudeTypeScriptNode.jsPostgreSQLNestJSAWS
Method

How we integrate MCP

Every stack comes with its own ecosystem. We always pick the technologies best suited to your project, based on its needs and its context.

FAQ

MCP: your questions

Can't find your answer? Write to us, we'll get back to you.

Contact us

Building an MCP server is done with Anthropic's official TypeScript or Python SDK. We define the Resources and Tools the AI can use, implement the handlers, and deploy. A simple MCP server is up and running in a day.

MCP works as a standard layer between your application and the AI model. The MCP server exposes your data and actions, Claude uses them through the Model Context Protocol. No rebuild of your architecture required.

The MCP server is your infrastructure: your data never leaves your network. Only the query results are sent to the model.

No. The MCP server is an additional layer that connects to your existing system through your APIs.

Yes. We build a custom MCP server that exposes the functions and data of your ERP/CRM to the AI.

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Your systems connected to AI with MCP

We build your MCP server so Claude and your AI agents act inside your real context.

Integrate MCP into my product
Integrate MCP into my product