Nuclos MCP

Nuclos MCP

AI in ERP development, with control and traceability. For development teams, IT departments, and partners.

MCP (Model Context Protocol) connects AI agents and your development environment to the data model, rules, and project artifacts. Model, version, and accelerate with AI, inside the proven low-code frame.

  • MCP in plain language
  • Sparring · validation · gates
  • Open source & low-code

What is MCP?

Structured AI access for ERP development.

MCP (Model Context Protocol) (opens in new tab) is an open protocol that lets AI assistants and development tools such as Cursor access defined tools and data sources. The agent reads metadata, rules, and configuration directly from the Nuclos development environment, not from screenshots or PDF exports.

Typical use in Nuclos 5: model data and rules, design UIs, prepare reviews, and generate deployment artifacts. MCP accelerates development and configuration on the platform.

MCP does not replace your pipeline. It supplies context and proposals. Review, validation, and quality gates stay with your team and your Git/CI process chain.

  1. Sparring AI proposes, you correct and approve.
  2. Validation Rules and platform patterns before every change.
  3. Quality gate Review and approval before test.
Governance run

IDE · MCP

Development in dialogue

Waiting for dialogue …

Simplified demo. Sparring, validation, and gates are defined bindingly in your project.

Why is a chatbot not enough?

Speed without control is not enough.

Many teams try AI for code and configuration. Without guardrails, proposals drift outside the data model, leave no review trail, and skip gates before production. IT and business lose a shared basis for decisions.

Nuclos 5 combines AI acceleration with low-code boundaries (opens in new tab), fixed agent rules, and the familiar chain of Git, review, and deployment. The result stays maintainable, auditable, and under your control.

Where AI proposes, you decide

Sparring, validation, and quality gates as one system.

  1. Sparring partner in modeling

    The AI agent proposes changes to the data model, rules, and UIs. You discuss, correct, and approve only when business and IT perspectives align. AI does not replace architecture decisions; it speeds up preparation.

  2. Validation before every change

    The agent follows fixed operating rules and stays within validated platform patterns. No direct access to the database structure. Proposals remain inside the low-code frame, traceable for IT and compliance.

  3. Quality gates before deployment

    Every change is stored as a versioned project artifact in Git. Pull request review, CI hooks, and gate-controlled promotion from dev through test to production remain mandatory before anything goes live.

Benefits at a glance

Why teams choose Nuclos MCP over isolated tool chains for individual ERP development.

  1. One platform instead of a tool chain

    Low-code, runtime, integrations, AI, and deployment are unified. No media breaks between model, code, and operations.

  2. Speed with control

    AI accelerates modeling and documentation. Git and review processes ensure quality and traceability.

  3. Partner and enterprise ready

    Multi-tenancy, roles, and audit for consultancies and regulated environments.

  4. Future-proof with MCP

    Model Context Protocol connects AI agents and IDEs to modeling and metadata. It enables AI-assisted ERP development, not chat over live ERP data.

  5. No license trap

    Open-source foundation: customization and operations stay in your hands, with transparent packages instead of hidden module costs.

  6. Clear path to Nuclos Enterprise

    From prototype to production delivery in 30 days with Nuclos experts when you want to outsource execution speed.

Integrations & automation

Nuclos MCP connects development, project control, and operations in one environment.

Git integration

Every change to the model and extensions is versioned, like professional software development.

  • Connect GitHub, GitLab, Bitbucket (Enterprise: self-hosted)
  • Branches per feature, release, or client project
  • Pull-request workflow with review before merge
  • Tags and releases for production states
  • CI hooks for automated builds and tests

Jira integration

Requirements and development stay linked from epic to deployed build.

  • Link Jira issues to Nuclos artifacts
  • Status sync between Jira issues and development progress
  • Traceability for audits and project controlling
  • Sprint and release planning with deployment targets
  • Optional: Confluence links for specifications

Deployment automation

From development to target environment, repeatable, documented, and rollback-capable.

  • Pipelines for dev, test, and production
  • One-click or gate-controlled promotions
  • On-premise, private cloud, or Nuclos hosting (DE)
  • Migration and configuration packages
  • Automated rollback and release notes

AI capabilities

AI as a development accelerator, not a replacement for your architecture decisions.

  • Assistants for modeling, rules, and UIs
  • Code and documentation suggestions with project context
  • AI-assisted test data and test scenarios
  • AI-assisted conversion of workshop requirements into structured artifacts
  • Enterprise: custom models / data residency by agreement

MCP in the dev context

Model Context Protocol connects AI agents and development tools to platform configuration in a controlled and auditable way.

  • MCP interfaces for data model, rules, UIs, and project metadata
  • Agents and IDEs (e.g. Cursor) work in the development context, not on live ERP operations
  • Standardized tools for modeling, reviews, and deployment preparation
  • Partners: custom MCP extensions for client development projects
  • Compatible with the MCP ecosystem for developer workflows

Pricing

Nuclos MCP for development, with clear packages instead of hidden module costs.

Placeholder pricing, final terms in the quote. All figures are non-binding, excl. VAT. Individual quotes for partners and enterprises.

Developer

from €XXX / month

IT teams, developers, and partners

MCP access with low-code, Git, and AI assistance for self-build.

  • MCP access for AI agents and IDEs (e.g. Cursor)
  • Low-code modeling with Git integration
  • AI assistants for modeling and documentation
  • Standard support and onboarding
Request Developer

Partner

Custom

Partners, enterprises, regulated environments

Self-hosted, custom MCP, and compliance by agreement.

  • Self-hosted Git, custom MCP included
  • On-premise, private cloud, SSO & compliance
  • Dedicated success & architect
  • Custom AI models / data residency optional
Discuss Partner

All pricing on pricing page →

Put MCP and AI to work in your ERP development

Discuss architecture, MCP connectivity, and quality gates with our team, or take a look at the packages.

Sparring · validation · gates · MCP in the dev stack · Open source & low-code