Model Context Protocol (MCP)
Protocol for formal alignment of model boundaries, contracts and responsibilities across domains.
Classification
- ComplexityMedium
- Impact areaOrganizational
- Decision typeOrganizational
- Organizational maturityIntermediate
Technical context
Principles & goals
Use cases & scenarios
Compromises
- Overly rigid contracts hinder necessary flexibility.
- Insufficient tests lead to compatibility issues.
- Missing ownership for translation adapters causes delays.
- Start with a lean set of critical contracts and iterate.
- Maintain automated regression tests against reference implementations.
- Provide documentation of translation rules and example transformations.
I/O & resources
- Existing data model and API specifications
- Stakeholder and ownership matrix
- Test and compatibility tooling
- Formalized model contract with versioning rules
- Adapter and translation specifications
- Governance checklist for model changes
Description
The Model Context Protocol (MCP) is a structural pattern for formally aligning model boundaries, domain contexts, and interfaces across teams and systems. It specifies binding rules for contracts, naming conventions, translation logic, and versioning strategies to reduce inconsistencies, integration effort, and ownership conflicts across domains.
✔Benefits
- Reduces integration effort and unexpected side effects.
- Improves accountability and governance when models evolve.
- Enables controlled evolution and versioning across domains.
✖Limitations
- Requires disciplined governance and continuous maintenance.
- Can introduce initial overhead in effort and documentation.
- Not suitable for very simple or monolithic systems.
Trade-offs
Metrics
- Integration error rate
Share of failed integration runs after model changes.
- Time-to-compatibility
Time from change to full compatibility approval.
- Contract coverage
Percentage of critical interfaces covered by MCP contracts.
Examples & implementations
Microservice commerce platform
Teams defined MCP contracts between order and inventory domains to avoid stock inconsistencies.
Data platform with multiple consumers
The platform used MCP rules for versioning and translating schemas for different consumers.
Organizational domain separation
During a reorganization MCP helped to formally establish ownership and integration responsibility.
Implementation steps
Iteratively define a minimal MCP catalog for critical interfaces.
Introduce contract tests and automated compatibility checks.
Establish review and governance routines for model changes.
⚠️ Technical debt & bottlenecks
Technical debt
- Untested adapter collections without central documentation.
- Outdated contract specifications without version labeling.
- Missing automated monitoring for model incompatibilities.
Known bottlenecks
Misuse examples
- A team enforces rigid contracts and blocks necessary local adjustments.
- Using MCP only as documentation without automated tests and enforcement.
- Trying to standardize all interfaces at once instead of iterating.
Typical traps
- Underestimating the test effort for translation and adapter logic.
- Ignoring backward compatibility in versioning.
- Establishing governance only on paper without enforcement mechanisms.
Required skills
Architectural drivers
Constraints
- • Existing legacy schemas with limited changability
- • Missing central schema registry or catalog
- • Limited organizational governance for contracts