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Read and edit ER diagrams and SQL schemas on a whiteboard using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "liz-whiteboard-mcp" yet — see the docs or source repo.
Create an ER diagram on liz-whiteboard for an e-commerce system with four tables: users, orders, order_items, and products. Add common fields to each table and set one-to-many relationships from users to orders, orders to order_items, and products to order_items.
A clear ER diagram is created on the whiteboard with tables, fields, and correct relationships.
Read the current SQL schema on the whiteboard: add payment_status and paid_at to the orders table, make users.email unique, and change products.price to decimal(10,2). Also update the related ER diagram.
The existing SQL schema and ER diagram are updated together, reflecting field, constraint, and type changes accurately.
Analyze the database design on the whiteboard and identify missing or problematic primary keys, foreign keys, and table relationships. If links between customers and addresses or orders and shipments are missing, add them and briefly list the changes you made.
An improved relationship design is produced, key links and constraints are added on the whiteboard, and a brief change summary is provided.
Generate readable, shareable Mermaid diagrams from natural language prompts.
Create PowerPoint presentations with ERD diagrams from text prompts.
Render database schemas into interactive ER diagrams for exploration and collaboration.
Use natural language to manage local SQLite databases and import or export data.
Generate concept, architecture, flow, and whiteboard diagrams in multiple formats.
Generate sequence diagrams from text and output Markdown with embedded images.