For organizations in AI-native transformation
MCP is the standard for teams seeking seamless AI assistant integration into their specific business processes.
Software Engineers
Implementing MCP servers for advanced AI assistant interaction with your development ecosystem.
SaaS Providers
Enhancing user experience by enabling direct AI interaction with your platform's functionality.
Enterprise Systems
Secure, controlled connection of AI agents with internal infrastructure, databases, and API interfaces.
Data-Driven Organizations
Precise analysis and real-time retrieval of proprietary data through intelligent AI interfaces.
AI Consultants & Agencies
Providing custom MCP solution development and implementation services for complex client needs.
Technology Innovators
Pushing the boundaries of AI assistant capabilities through unique tool and extended functionality development.
High-performance MCP solutions
Robust MCP servers ready for production environments and demanding business scenarios.
Custom MCP Servers
Server development fully tailored to your specific IT architecture, API interfaces, and business logic.
Data Connectors
Enable AI assistants to communicate directly with databases, data warehouses, and analytics systems.
Universal AI Integration
Full compatibility with Claude, ChatGPT, and all assistants supporting the open MCP standard.
Enterprise Security
Integrated authentication and authorization systems with detailed audit logging.
Real-Time Access
AI models use dynamic real-time data, eliminating the need for outdated data exports.
Scalable Architecture
Systems designed to stably handle large volumes of concurrent requests from multiple AI agents simultaneously.
Why MCP is essential
The foundation for secure and scalable AI system integration.
Industry Standard
MCP (Model Context Protocol) is the universal protocol for connecting AI systems with external tools. Early implementation ensures strategic market advantage.
Real Operational Capability
Goes beyond passive RAG limitations by enabling AI models to execute concrete actions — from complex database queries to process automation.
Security by Design
Protocol with built-in authentication and authorization mechanisms. You maintain granular control over data access and permitted actions.
Universal Support
Native integration with leading models like Claude. 'Build once, use everywhere' principle ensures flexibility and long-term sustainability.
Cumulative Value
Every integrated tool exponentially increases AI system capabilities, creating a robust ecosystem of connected resources and possibilities.
From APIs to intelligent integration
A structured engineering approach to production MCP solution development.
Analysis & Specification
Deep IT infrastructure analysis, API interface mapping, and defining key AI integration points.
System Design
Designing secure, scalable MCP architecture with defined access levels and optimized data flow.
Development & Validation
Iterative MCP server development with rigorous testing against leading AI models for precision and reliability.
Production Integration
Solution implementation into production environment, security configuration, and AI process orchestration.
MCP questions
Common questions about MCP development.
Model Context Protocol is an open protocol enabling AI assistants to connect with external tools, databases, and APIs in a standardized, secure manner.
Claude supports MCP natively. OpenAI and others are adding support. MCP is becoming the industry standard.
MCP is more structured, includes discovery, and is designed for external integrations. Function calling is internal to a single conversation.
Yes. MCP includes authentication, authorization, and you control exactly which tools and data AI can access.
Implementation duration depends on system complexity. Basic integration modules (e.g., single database connection) are developed within 2 weeks (starting from €2,500), while complex enterprise solutions requiring multiple data sources and advanced business logic take 4-8 weeks.
Our architecture supports connection with any system having an API interface (REST, GraphQL, gRPC) or direct database access. This includes CRM and ERP systems, internal microservices, cloud infrastructure, and legacy applications.
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