Enterprise AI Integration &
Custom MCP (Model Context Protocol) Server Development
Building Your Enterprise AI Future
How do you enable an AI to work with your Enterprise Data
iunera supports you to move beyond generic AI chatbots and build intelligent, autonomous systems that are deeply integrated into your core business operations. With a foundation built on years of expertise in Big Data and Machine Learning, we specialize in developing production-grade AI agents and enterprise-grade LLM solutions. We architect secure, scalable, and future-ready AI infrastructure, underpinned by the revolutionary Model Context Protocol (MCP), to connect your proprietary data, legacy systems, and external APIs to the most advanced AI models.
You want to dock your enterprise methods and Data to an AI: We help you to develop a sustainable MCP Server
The Model Context Protocol (MCP) is the open standard—the “USB-C port for AI”—designed to be the universal bridge between AI models and the outside world. Introduced by Anthropic in late 2024, it was created to solve the pervasive challenge of connecting modern AI to siloed enterprise systems and external data sources.
For example, it enables AIs to read and write files, manage calendars, query databases, and coordinate across multiple services without costly, brittle, point-to-point integrations. This standardized communication is the key to unlocking true, scalable enterprise automation and future-proofing your AI stack.
An Enterprise MCP protocol enabled server is therefore a server that provides access to business data or business functions in a way that an AI can understand and interact with it. In short, an enterprise MCP server allows you to “chat” with your enterprise functions and data. Imagine it like a department is enabled to interact with the functions of the department and to analyze the data like a data scientist or coder.
MCP servers lift enterprise intelligence and interactions into the AI age. On top of an MCP server one can then build autonomous agents acting on behalf of humans. Therefore, enterprise MCP servers are the foundation of the next level of agenetic enterprise solutions.
RAG is a specific technique for information retrieval to make LLM answers more factual. MCP is a much broader communication protocol. While MCP can be used to implement a RAG pattern (via its Resources primitive), its primary purpose is to enable both information retrieval and the execution of actions through its Tools primitive.
Open-source servers, including our own Apache Druid MCP Server, are excellent for getting started. However, our commercial services provide the critical next layer for enterprise AI deployment: dedicated SLA-backed support, integration with your specific legacy systems and authentication protocols (like SSO), and ongoing security hardening. LLM interaction requires further deep description and understanding of your enterprise semantics to make the AI fully understand your context and business case. iunera is experienced with complex and complicated business data models and howto break them down that an AI can easily work with them.
mcP Server design
We design and build custom MCP servers—both local for high-speed, private data access and remote for cloud-based services—tailored to your specific use cases. We support you in integrating your data models with generative AI solutions like OpenAi ChatGPT, Google Gemini, xAi Grok, and Claude Sonnet.
Enterprise-Grade & Secure
We move beyond demo-grade libraries to deliver hardened, production-ready servers. Our “secure by design” approach includes strict authentication (OAuth 2.0), permission checks, and activity logging, protecting you from supply-chain threats by vetting every dependency.
Where can we support you?
As specialist AI and MCP Server consultants for Germany, Switzerland, France, and Austria, we are your premier partner in the DACH region and the broader European market. We provide localized on-site in cities like Berlin, Munich, Hamburg, Frankfurt, Zurich, Geneva, Paris, and Vienna. Aside that, we offer flexible remote consulting for MCP server development worldwide . Wherever you are, our expert guidance helps you navigate both technical complexities, conceptual challenges and the compliance to stringent data governance requirements such as GDPR.
You Profit From Our Long Experience With Enterprise Use Cases
As a testament to our expertise, we developed and maintain the iunera Druid time-series analytics MCP Server, an enterprise-grade, open-source solution built with Spring Boot and Spring AI. This iunera server for big data time-series analytics provides a conversational natural language bridge to one of the world’s leading real-time time-series analytics databases. It demonstrates our capability to connect AI agents to complex to high-performance data systems like they commonly occur in enterprises.
Specialized MCP for Domain Specific Use Cases
We know by experience that enterprises always have domain specific use cases. LLMs traditionally struggle with real-time, numerical data how it is commonly existing in such scenarios. We specialize in building MCP servers that connect AI agents to most complex data. By our experience we are able to embed your domain knowledge into the MCP server, enabling, enabling natural language querying of complex temporal data and combining this with your domain logic.
Enterprise LLM Integration & Consulting
For organizations looking to leverage the power of LLMs within their existing infrastructure, we provide end-to-end integration and consulting. We take a model-agnostic approach, working with leading platforms like GPT, DeepMind, and Claude, or helping you create custom frameworks tailored to your technology stack. Our services ensure your LLM solutions are deployed with minimal disruption and are continuously optimized for performance.
Custom AI Agent Development
Harness the power of your new MCP and LLM infrastructure with purpose-built AI agents designed to solve specific business challenges and deliver measurable ROI. We build a wide range of autonomous agents, including single-agent solutions and complex multi-agent systems where specialized agents collaborate across functions.
Modern, Enterprise-Java Stack
We build our solutions on robust, scalable frameworks like Spring Boot and Spring AI. This ensures our MCP servers are not just functional but also highly maintainable, secure, and easily integrated into your existing Java-based enterprise environment.
Production-Ready & Secure by Design
We deliver enterprise-grade, production-ready solutions, not prototypes. Our servers are built with a defense-in-depth security strategy, protecting you from supply-chain threats and vulnerabilities like prompt injection through rigorous code vetting and hardened API wrapping.
Industry-Specific Solutions
A generic approach to AI is not enough. We build specialized solutions tailored to the unique compliance, data, and workflow requirements of your industry.
Finance & Fintech
Healthcare & Life Sciences
insurance & Insurtech
E-commerce & Retail
Our MCP Enablement Approach
Your Path to chat with your enterprise data and functions
Our consulting services are designed for organizations that need to run better and faster with AI. We provide hands-on, expert-led engagements focused on implementing and optimizing your specific use cases and business processes within the European regulatory landscape.
Architecture & Business Domain AI enablement
We leverage your already existing environment with APIs and and databases and design a solution that makes sense for your business. Our experts assess your setup for business return on investment and reliability, then dive deep to manifest your business domain with an interface that an Ai can understands. This holistic approach delivers a high-performing platform, reduced infrastructure costs, and a superior user experience.
Experience in AI and Data
Our foundation is over a decade of experience architecting and managing large-scale data platforms and machine learning pipelines. We understand enterprise data complexities, from real-time streaming with to building robust data curation processes for AI. We understand that data comes with a business case. We have engaged in several AI projects and act out of hands-on experience.
Enterprise Infrastucture
We are familiar with enterprise landscapes form cloud based solutions to Kubernetes on bare metal. We help you build a scalable, secure, and automated deployment using GitOps principles that reduces maintenance costs for your AI enablement.
Optimization & Support
We provide ongoing monitoring, maintenance, and performance tuning to ensure your AI systems continue to deliver value and adapt to your evolving needs.
Let’s Solve Your Enterprise AI Integration Challenge
Ready to maximize the return on your Ai and MCP investment? Schedule a no-obligation consultation with our experts to discuss your specific use case and learn how we can help you achieve your goals.
Read more about our hands-on Experience with AI
