MCP Server Development for Businesses: integrate AI with your software and tools
The Model Context Protocol is the new open standard for connecting AI models to your business systems. We develop custom MCP servers for ERPs, CRMs, databases and proprietary software.
What an MCP Server is (and why it changes the rules of AI integration)
The Model Context Protocol (MCP) is an open, standardised protocol, promoted by Anthropic, that solves a fundamental challenge: how to make artificial intelligence interact with real business systems in a secure, structured and bidirectional way.
Unlike a simple API, MCP defines a common language that allows any AI model (Claude, GPT, Llama, Mistral) to discover, understand and use business tools as if they were native extensions of its own capabilities.
- Open standard - You are not tied to a single vendor. An MCP server works with any compatible AI client.
- Bidirectional and context-aware - AI not only reads data, but can also perform actions in your systems while maintaining the context of the conversation.
- Built-in security - Granular permissions, OAuth authentication, full control over which data and actions are exposed.
- Real data, not hallucinations - AI works on your data updated in real time, not on obsolete or invented information.
- No radical changes - The MCP server adapts to your existing systems, not the other way round.
How the Model Context Protocol works in 3 steps
The MCP server creates a standardised bridge between your business systems and artificial intelligence, in three simple phases.
.01
Your systems
ERP, CRM, databases, file systems, IoT sensors, internal APIs. Every system exposes data and actions that can be integrated.
.02
The custom MCP server
It translates your systems' APIs into standardised "tools" that every LLM understands. It defines permissions, contexts and interaction modes.
.03
The AI agent
ChatGPT, Claude, a private or on-premise LLM. The AI uses the tools exposed by the MCP server to read up-to-date data and perform actions in your systems.
No copy-pasting data, no hallucinations about obsolete information. AI works on real, up-to-date, contextual data, with granular authorisations and full traceability.
Why your company needs a custom MCP Server
The MCP server is the most modern, secure and flexible way to integrate artificial intelligence with your business processes.
- You don't have to change your software - The MCP server adapts to your existing systems (ERP, CRM, MES, databases), not the other way round.
- Secure, authorised access - OAuth 2.0, JWT, granular permissions. You decide exactly which data and actions to expose to AI.
- Automation on your real processes - Orders, warehouse, reports, clinical data, production: AI acts on your real data, not on demos.
- Bidirectional, context-aware protocol - AI maintains context across interactions, understanding the current state of your processes.
- Independence from the AI vendor - An MCP server works with Claude, GPT, Llama, Mistral and any future LLM that implements the protocol.
AI integration that really works
in real processes.
An MCP server is not an experiment: it is a software infrastructure designed to work in production. Your teams will be able to interact with AI in natural language to consult data, generate reports, start workflows and make decisions based on information updated in real time.
Our MCP Server development process
From analysis of existing systems to deployment in production, we follow a structured process to ensure concrete results.
.01
Analysis and design
We analyse your existing systems, the processes to be automated and the data to be integrated. We design the MCP server architecture by defining tools, permissions and transport modes (SSE/stdio).
.02
Development and integration
We develop the custom MCP server in Python, TypeScript/Node.js or .NET, based on your technology stack. We integrate REST APIs, GraphQL, gRPC and WebSocket to connect your systems.
.03
Security and testing
We implement OAuth 2.0, JWT and RBAC for access control. We test every tool in staging environments, verify security and document every endpoint before deployment.
Technologies and integrable stacks
We work with any technology stack. The MCP server integrates with your systems, regardless of platform.
.01
Languages and Frameworks
Python, TypeScript/Node.js, C# .NET. We choose the language best suited to your stack, optimising performance and maintainability.
.02
APIs and Protocols
REST API, GraphQL, gRPC, WebSocket, SSE. The MCP server adapts to the protocols of your existing systems without requiring changes.
.03
Security and Authentication
OAuth 2.0, JWT, RBAC, end-to-end encryption. Granular permissions for every exposed tool, with complete logging and auditing.
.04
Business Systems
SAP, Microsoft Dynamics, Salesforce, SQL/NoSQL databases, file systems, cloud platforms (AWS, Azure, GCP), IoT sensors and industrial machinery.
.05
AI Models
Claude (Anthropic), GPT (OpenAI), Llama, Mistral, on-premise models. The MCP server is model-independent and works with any compatible LLM.
.06
Deployment
On-premise, private cloud, Docker containers, Kubernetes. Automated deployment with CI/CD, monitoring and alerting to ensure availability and performance.
Practical examples of MCP integration
Here is how an MCP server transforms real business processes, making AI operational on your data.
Warehouse Assistant
AI that consults and manages the warehouse in real time
An AI assistant connected via MCP to the company management system allows you to:
- Check product availability in real time
- Generate purchase and movement orders
- Monitor stock levels and reorder thresholds
- Receive alerts on inventory anomalies
Healthcare Chatbot
AI access to clinical data to support medical staff
A company chatbot integrated via MCP with the Euphra platform allows healthcare staff to:
- Query clinical data in natural language
- Receive summaries of medical records
- Identify patterns and anomalies in patient data
- Generate automatic clinical reports
Document Intelligence
Semantic search and document editing via AI
The Triggo engine exposed as an MCP tool allows AI to:
- Search business documents by meaning, not by keyword
- Extract and summarise information from PDFs, emails, reports
- Edit and update authorised documents
- Keep the company knowledge base always up to date
Production 4.0
Production dashboard with AI agent for anomalies and maintenance
An MCP server connected to IoT sensors and industrial machinery allows AI to:
- Monitor production parameters in real time
- Flag anomalies and trigger maintenance workflows
- Generate automatic efficiency reports (OEE)
- Predict failures before they happen
Frequently asked questions about MCP and AI integration
What exactly is the Model Context Protocol?
The Model Context Protocol (MCP) is an open, standardised protocol promoted by Anthropic to connect language models (LLMs) and AI agents to data sources, software tools and external services in a structured, secure and bidirectional way. It allows a company to expose its software (ERP, CRM, databases, internal APIs) as "tools" that an artificial intelligence can invoke directly to read data and perform concrete actions.
Can I integrate an MCP server with my existing management system?
Yes, that is exactly the purpose of the service. We analyse your current systems (ERP, CRM, MES, databases, proprietary software) and develop a custom MCP server that translates their APIs into standard "tools" that any LLM can use. You do not have to change your existing software.
Is it secure? Does my data stay in the company?
Absolutely. The MCP server can be installed on-premise or in a private cloud, with full control over access. We implement OAuth 2.0, JWT, granular permissions and end-to-end encryption. Data never leaves your infrastructure unless authorised.
How long does it take to develop a custom MCP server?
Timelines depend on the complexity of the systems to be integrated and the number of "tools" to be developed. For a typical project, it ranges from 4 to 12 weeks, including initial analysis, development, testing and deployment. We provide a detailed quote after the free analysis of your project.
Which AI models can use an MCP server?
All the main models and frameworks support MCP: Claude (Anthropic), GPT (OpenAI), Llama, Mistral, and any LLM compatible with the protocol. The MCP server is model-independent: once developed, it works with any AI client that implements the protocol, ensuring flexibility and future-proofing.
Don't let your software remain isolated from AI. Let's build the bridge together.
Contact us for an MCP consultationWhy choose Cocce for your MCP Server
We are not a company that "uses ChatGPT". We are a software house that has been integrating AI into complex business processes for over 25 years.
.01
Real software experience
Over 25 years of custom software development. We design solid architectures, write quality code, manage complex infrastructures. MCP builds on this expertise.
.02
Real system integration
We integrate AI with ERPs, MES, databases, IoT sensors, industrial machinery. We know the protocols, APIs and challenges of integration with enterprise systems.
.03
Pragmatic approach
We don't chase fads. We analyse your business, identify where the MCP server generates real value and develop only what is needed. We measure results, not promises.
Read our AI manifesto to understand our vision.
The future of AI integration goes through the Model Context Protocol. We are ready to build it with you.
