MCP Server Development
Build powerful MCP servers that connect your systems with Claude and other LLMs. From custom integrations to container-based deployment - we make AI tooling accessible.
What is Model Context Protocol?
MCP (Model Context Protocol) is an open standard that enables AI assistants like Claude to connect with external data sources and tools. This makes AI integrations standardized, secure and scalable.
- Standardized interface for AI tool integrations
- Secure communication between LLMs and external systems
- Support for databases, APIs and file systems
- Scalable architecture for enterprise applications
# 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
mcp-container-tools
Our open source contribution to the MCP ecosystem. Run MCP servers safely in Docker containers with simple configuration.
mcp-container-tools
PyPI Package
A Python toolkit for running MCP servers in Docker containers. Ideal for developers who want to quickly get started with MCP server development.
- Docker container support for MCP servers
- CLI tool for easy management
- Compatible with Claude Desktop
- Automatic configuration and setup
Quick Start
pip install mcp-container-toolsCLI-ready out of the box
Docker & container support
Our MCP Services
Complete MCP server development from design to deployment
Custom MCP Servers
Tailored MCP servers for your specific use cases and systems
- Database connectors (PostgreSQL, MongoDB, etc.)
- API integrations (REST, GraphQL)
- File system access and management
- Custom business logic
LLM Integrations
Seamless integration of MCP servers with Claude and other LLM platforms
- Claude Desktop integration
- Claude API connections
- Multi-LLM support
- Context management
SDK & Tooling
Development kits and tools for MCP server development
- Python SDK implementations
- TypeScript server development
- Testing frameworks
- Documentation & examples
Security & Compliance
Enterprise-grade security for your MCP implementations
- Authentication & authorization
- Data encryption
- Audit logging
- GDPR compliance
Performance Optimization
Optimize your MCP servers for speed and scalability
- Caching strategies
- Connection pooling
- Load balancing
- Resource management
Maintenance & Support
Continuous support for your MCP infrastructure
- Monitoring & alerting
- Bug fixes & updates
- Performance tuning
- 24/7 support options
Use Cases
Practical applications of MCP servers
AI Development Tools
Give AI assistants access to development tools and systems
Developer Productivity
Increase developer productivity with AI-driven tooling
Process Automation
Automate business processes with AI and MCP
Enterprise Integrations
Connect enterprise systems with AI capabilities
Our Development Process
From concept to production-ready MCP server
Discovery
Analysis of your use case and technical requirements
Architecture
Design of MCP server structure and interfaces
Development
Iterative development with regular feedback
Deployment
Container deployment and production setup
Technology Stack
Modern tools for MCP development
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
Frequently Asked Questions
Answers about MCP server development
Let's get acquainted
Tell us about your project. We'd love to think along with you.