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
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_overviewlist_relationshipslist_domainssearch_dictionarycheck_naminggenerate_physical_nameexport_sqlexport_dbmldiff_erdsexport_alter_sqllist_proposalsintrospect_dbcheck_db_driftcreate_erdupdate_naming_rulesauto_layoutERDMAKER_HOMEERDMAKER_SUPABASE_URLERDMAKER_SUPABASE_ANON_KEYERDMAKER_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
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.
