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sqemo/sqemo-mcp

by Various

MCP server for Sqemo. AI agents query and edit ERDs, generate physical names from your team's shared glossary, import/export SQL (7 dialects) and DBML, and diff the model against a

MCP

sqemo/sqemo-mcp

Added 8 Sept 2026

#ai-agents #data-modeling #database #database-design #dbml #erd #mcp #mcp-server

Overview

MCP server for Sqemo. AI agents query and edit ERDs, generate physical names from a shared glossary, import/export SQL (7 dialects) and DBML, and diff the model against a live database.

Best for

Best for
Teams using Sqemo who want AI agents to manage ERDs and database models

Use cases

  • Query and edit entity relationship diagrams via AI agents
  • Generate physical names from a team shared glossary
  • Import/export SQL across 7 dialects and DBML, and diff against a live database

How to use

Install

npx sqemo-mcp login    # pick Google, GitHub, or email + password

Tools exposed

  • get_erd_overview
  • list_relationships
  • list_domains
  • search_dictionary
  • check_naming
  • generate_physical_name
  • export_sql
  • export_dbml
  • diff_erds
  • export_alter_sql
  • list_proposals
  • introspect_db
  • check_db_drift
  • create_erd
  • update_naming_rules
  • auto_layout
  • ERDMAKER_HOME
  • ERDMAKER_SUPABASE_URL
  • ERDMAKER_SUPABASE_ANON_KEY
  • ERDMAKER_MAX_REQUESTS_PER_MINUTE

Tested with

Claude Desktop, Claude Code, Cursor

Example client config

{ "mcpServers": { "sqemo": { "command": "npx", "args": ["-y", "sqemo-mcp"] } } }

Notes

MCP server for Sqemo. AI agents query and edit ERDs, generate physical names from a shared glossary, import/export SQL (7 dialects) and DBML, and diff the model against a live database.

0 stars on GitHub. Last updated 2026-08-23. Licensed MIT.

Use cases

  • Query and edit entity relationship diagrams via AI agents
  • Generate physical names from a team shared glossary
  • Import/export SQL across 7 dialects and DBML, and diff against a live database

Pros

  • Supports 7 SQL dialects plus DBML
  • Uses a shared glossary for consistent naming
  • Can diff the model against a live database

Cons

  • No stars or community traction yet
  • Packaged as a Dockerfile, not a standalone binary
  • Limited to the Sqemo ecosystem

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports 7 SQL dialects plus DBML
  • Uses a shared glossary for consistent naming
  • Can diff the model against a live database

Cons

  • No stars or community traction yet
  • Packaged as a Dockerfile, not a standalone binary
  • Limited to the Sqemo ecosystem
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