MCP server developmentYour systems available to AI assistants

We build MCP servers that connect your databases, APIs and internal tools to Claude and other language models. The assistant only gets the permissions it needs. The server runs in a container, on your own infrastructure or in the cloud.

The Model Context Protocol in brief

MCP (Model Context Protocol) is an open standard that lets AI assistants such as Claude work with external data sources and tools. You build an integration once and can use it with different assistants.

  1. 01One standard way to connect tools to AI
  2. 02Controlled access to your systems
  3. 03Works with databases, APIs and files
  4. 04Suitable for use across whole teams
terminal
# Install MCP Container Tools
pip install mcp-container-tools

# Run your MCP server in Docker
mcp-container run my-server

# Or use with Claude Desktop
claude mcp add my-server
Open source

mcp-container-tools

Our own open-source project. It runs MCP servers in Docker containers with a simple configuration.

PyPI package

mcp-container-tools

A Python toolkit for running MCP servers in Docker containers. Useful if you want to get started with MCP quickly.

  • + Run MCP servers in Docker containers
  • + CLI for simple management
  • + Works with Claude Desktop
  • + Automatic configuration
PyPIGitHub
Quick start
$ pip install mcp-container-tools
  • + Ready to use from the CLI
  • + Docker and container support

What we do for you

From design to a running MCP server

01

Custom MCP servers

A server that offers exactly the data and actions your team needs.

  • + Database connectors (PostgreSQL, MongoDB and others)
  • + API integrations (REST, GraphQL)
  • + File access
  • + Your own business logic
02

LLM integrations

Your MCP server connected to Claude or another language model.

  • + Claude Desktop
  • + Claude API
  • + Multiple language models
  • + Context management
03

SDK and tooling

Tools for building and testing MCP servers.

  • + Python SDK
  • + Servers in TypeScript
  • + Test setup
  • + Documentation and examples
04

Security and compliance

Access and logging set up so you know what the AI does.

  • + Authentication and authorisation
  • + Encryption
  • + Audit logging
  • + GDPR compliant
05

Performance

Fast responses, even with many users.

  • + Caching
  • + Connection pooling
  • + Load balancing
  • + Resource management
06

Maintenance and support

After delivery we keep the server up to date.

  • + Monitoring and alerts
  • + Bug fixes and updates
  • + Performance tuning
  • + Support agreements to suit you

Use cases

What teams use MCP servers for

01

AI in the development process

Give AI assistants access to your development tools.

  • + Code repositories
  • + Build systems
  • + Deployment pipelines
02

Faster development

Developers let the assistant do the searching.

  • + Database queries
  • + Log analysis
  • + Documentation
03

Process automation

Automate business processes with AI and MCP.

  • + Workflows
  • + Data processing
  • + Report generation
04

Business system integrations

Your CRM, ERP and older systems available to AI.

  • + CRM integration
  • + ERP connectors
  • + Legacy systems

How we build an MCP server

From idea to server in production

  1. 01

    Exploration

    We decide which systems and actions the assistant may use.

  2. 02

    Design

    Setup of the server, the tools and the permissions.

  3. 03

    Build

    We build in short rounds and ask for your feedback along the way.

  4. 04

    Go-live

    Packaging the server in a container and putting it into production.

Technology

Tools we use for MCP

Languages
  • Python
  • TypeScript
  • Go
  • Rust
Frameworks
  • FastAPI
  • gRPC
  • WebSocket
  • REST APIs
Infrastructure
  • Docker
  • Kubernetes
  • AWS/Azure/GCP
  • CI/CD
AI tools
  • Claude API
  • OpenAI API
  • LangChain
  • Vector DBs
FAQ

Frequently asked questions

About MCP servers

What our clients say

“Our new website is really fast, with load times of 1 second, and everything responds intuitively. Exactly what we had in mind.”

Sanimax

Website · Haarlem
sanimax.nl
“A complete solution with AI integration, from app to platform. We are very happy with the end result.”

Heumin

AI app · iOS, Android & web
heumin.com
“Within a week our website was completely redesigned and all funnels were correctly integrated. We are very happy with the result.”

ABN Vloerverwarming

Website & funnels · Haarlem
abnvloerverwarming.nl

Need custom software built

Book a free call with our developers. We look at your situation and discuss what's possible for your web application or business software. There is no obligation.

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