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Model and visualize DDD contexts, aggregates, and relationships with Context Mapper.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "context-mapper-mcp" yet — see the docs or source repo.
Using Context Mapper CML, create a domain model for an e-commerce system with three bounded contexts: Customer, Order, and Inventory, and define the relationships between them.
A CML model defining the three bounded contexts and their relationships, ready for visualization.
Update the existing order context by adding a Payment aggregate to the Order bounded context and define its relationship with the Order aggregate.
An updated CML snippet showing the new aggregate and its related relationships.
Visualize the current CML model, highlighting bounded contexts, aggregates, and the dependencies between them.
A clear visual representation of the domain architecture, showing system boundaries and dependencies.
Manage contextual data in Markdown with metadata for save, search, and retrieval.
Save, organize, and preprocess context for better analysis and search results.
Give LLMs persistent, searchable access to project knowledge and session context.
Analyze dependencies and fetch relevant docs to build project context fast.
Turn local Markdown knowledge into searchable context for AI coding agents.
Control dynamic maps and layers to visualize geospatial data in AI workflows.