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Manage STAR architecture diagrams and build interactive viewers through tool calls.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "noit-mcp-server" yet — see the docs or source repo.
Create an architecture diagram for an order processing system using the STAR pattern, including the main components and their relationships, and save it as a new diagram.
Returns the created STAR architecture diagram information, including its structure or identifier.
Update the existing STAR architecture diagram by adding a cache layer and monitoring components, and adjust the related connections.
Returns the updated diagram showing the newly added components and connections.
List the currently available STAR architecture diagrams and build an interactive viewer for the latest one.
Returns the diagram list and generates an interactive viewer result or access method for the target diagram.
Developers or architects can create, update, and list STAR architecture diagrams through tool calls, reducing manual diagram maintenance. It fits workflows where AI assists with architecture evolution.
During solution reviews or product discussions, teams can build interactive viewers for existing STAR architecture diagrams to explore structure and relationships. This is more suitable for discussion and demos than static images.
When a project includes multiple STAR architecture diagrams, teams can list existing diagrams first, then update or view the target one as needed. This suits teams that continuously organize architecture assets.
This is an MCP server that lets AI agents manage STAR-pattern architecture diagrams through tool calls. It supports creating, updating, listing diagrams, and building interactive viewers.
Based on the provided description, it can create diagrams, update existing diagrams, list diagrams, and build interactive viewers. For exact parameters and invocation details, see the source repository.
The provided material does not include installation steps, runtime requirements, or API key information. For prerequisites and deployment details, see the source repository.
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