Case Study: Nervatura + mcp-agency.com

AI-Native, Data-driven Interactions for an Open Source ERP

A case study on how an ERP system benefits from AI-native, conversational operations. See how we transformed Nervatura into a ChatGPT-like experience that exposes full service functionality.

Executive Summary

This case study documents the strategic partnership between Nervatura, an open-source enterprise resource planning platform, and mcp-agency.com, a specialized Model Context Protocol implementation and advisory firm.

Building on the already existing Nervatura service, we show the impact of adding an MCP server and enhancing user experience through AI-driven conversational chat. The outcome: An AI-native chat interface that exposes full service functionality.

Nervatura – Open Source Business Management Framework

Nervatura is a business management framework based on open-data principle. It can handle any type of business related information, starting from customer details, up to shipping, stock or payment information. Developed as open-source project and can be used freely under the scope of LGPLv3 license.

View on GitHub

Open Source ERP

LGPLv3 License

  • • Customer management
  • • Shipping & logistics
  • • Stock control
  • • Payment processing
  • • Business intelligence

The Problem: Paradigm Shift in Interaction

Customers want a ChatGPT-like experience, that can talk to services... But your existing services are not compatible with AI models and agents.

Today's AI-Powered Conversations

  • "Make an appointment with my hairdresser on Wednesday."
  • "Please order my usual cat food pack for me."
  • "Buy some flowers for my wife's birthday."
  • "Do we have enough money to fly to Vienna on the weekend?"

These kinds of queries need actual data and the ability to take action (do operations) for the user. This is only possible through 2-way communication between an AI agent and a service, eg: through an MCP server.

Big Tech is Leading the Way

Big tech is already gearing up for the AI-first web (see 2025 keynote speeches), where natural language chat is going to be the primary interaction interface with data.

AI-First Infrastructure

Moving from UI-based interactions to conversational, AI-driven operations represents a fundamental shift in how users interact with business systems.

The Problem: Nervatura's UI is Spreadsheet-like

Users need to learn a complex UI and data concepts to efficiently use Nervatura. Everyday business management tasks take a lot of navigation and form-filling.

Traditional ERP Challenges

  • • Steep learning curve for new users
  • • Complex navigation through multiple screens
  • • Time-consuming form completion
  • • Limited accessibility on mobile devices
  • • Requires specialized training

The Solution: Chat-Based Interactions

  • • Natural language commands
  • • Conversational workflow guidance
  • • Mobile-friendly operations
  • • Reduced training requirements
  • • Increased productivity and user satisfaction

The Solution: AI-Native Interface Over Data

AI agents can take action: An MCP server allows AI agents or services to interact with an existing system, query fresh data, do operations, etc. No need to change implementation, just add a new layer.

AI Agents Can Take Action

Agents perform operations through MCP tools, not just read data.

Chat and Voice

Natural language queries lower complexity and increase productivity.

Not Just a Chatbot

AI-first experiences allow operations through Large Language Models.

Imagine that your customers can interact with your software systems on-the-go from a mobile app, using conversational voice to do complex operations that would take dedicated people 10+ minutes...

What is the Model Context Protocol (MCP)?

An open protocol by Anthropic enabling seamless AI ↔ business systems integration.

Tools

Executable functions AI agents can safely invoke to perform operations.

Resources

Data sources with context and structure for AI comprehension.

Prompts

Reusable templates for complex workflows and interactions.

Not just another API. Built specifically for AI-native agent interactions.

Implementation Details – How We Did It

Technical Components

  • • Nervatura MCP server as additional data protocol
  • • mcp-agency chat UI for secure, enterprise-grade communication
  • • mcp-agency MCP backend for LLM connections and protocol handling

Key Features

  • • Configurable, secure ChatGPT-like interface
  • • Full exposure of Nervatura service functionality
  • • Efficient and secure LLM connections
  • • Enterprise-grade deployment capabilities

From the article: "Using LangChain with Model Context Protocol (MCP)" by Cobus Greyling

Nervatura + mcp-agency.com: The Partnership

Nervatura's Contribution

  • • Production ERP with native MCP support
  • • Open-source business management framework
  • • Comprehensive business data handling
  • • LGPLv3 licensed solution

mcp-agency.com's Expertise

  • • End-to-end MCP integration implementation
  • • Enterprise OAuth integration
  • • Production-grade deployment
  • • Data-enhanced chat interface

The Result

AI-native operations platform in 6-8 weeks using official MCP SDKs, enterprise-grade security, and containerized deployment.

Why mcp-agency.com?

Our Expertise

  • • Deep MCP expertise for SMBs and Startups
  • • Official maintainers of Nervatura integration
  • • Three-phase framework: Implementation → Design → Support
  • • Transparent pricing structure

Pricing Tiers

Foundation

€5K

Growth

€10K

Enterprise

€30K+

Technical Foundation

  • • Streamable HTTP transport
  • • OAuth2/OIDC identity integration (Keycloak, Okta, Azure AD)
  • • Docker + Kubernetes deployment
  • • Audit logging, GDPR, SOX compliance
  • • Production-grade monitoring

Why Move Now? The Urgency

Competitive Advantage

AI-Native Infrastructure is becoming competitive advantage. First-movers gain the edge.

Industry Standard

MCP is becoming industry standard. Early adoption ensures future-proof systems.

Quick Time-to-Value

6-8 week deployment window with proven ROI. Competitors are already evaluating MCP.

Getting Started: Three Steps

1

Consultation

Discuss your use cases and systems (1 hour, no obligation)

2

Planning

Define domains, tools, and timeline (1-2 weeks)

3

Execution

Implement, train, and launch (6-16 weeks)

Ready to Transform Your Systems?

Schedule a consultation with mcp-agency.com. Web: www.mcp-agency.com. Contact: Contact form or direct email. Demo: Interactive demo available.

Response within 48 hours • No long sales process • Let's dive in