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PopNx MCPMCP servers for people who use AI · explained in plain words

Sqemo

by sqemoversion 2.8.3i★ –iRuns on your computer
Registry nameio.github.sqemo/sqemo

Install

Overview

Description from the maker (original English)

Design ERDs with your team's naming standards: query/edit entities and relationships, SQL/DBML

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add sqemo -- npx -y sqemo-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "sqemo": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "sqemo-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account sqemo, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2162 servers in this category
  • Published to the registry more recently than 59% of the other 2162 servers in this category
  • Basic checks equal to or better than 100% of the other 2162 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Sqemo safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.8.3) reached the registry 21 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

sqemo-mcp

MCP server for [Sqemo](https://sqemo.com) — AI agents that follow your team's database naming standard.

Your agent models in business terms ("Customer Number"); the column comes out as cust_no because *your* word list says customer → cust, number → no (case and delimiter are rules too, so CUST_NO is one setting away). Same input, same name, every table, every agent. Overrides are allowed but flagged, and a CLI lint catches drift in CI.

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

Works with Claude Code, Claude Desktop, Cursor, and any MCP client. Local .erd.json files need no account; cloud ERDs and Pro tools need npx sqemo-mcp login.

What it looks like

*Model a discussion board where members post articles, a post can be a reply to another

post, and members comment on posts.*

The agent calls the tools with logical names and never types a column name:

upsert_entity    { logicalName: "Post" }

// → { physicalName: "POST" }

upsert_attribute { logicalName: "Post Content", domain: "Content" } // → { physicalName: "POST_CNTS" } // Content → CNTS: from the team word list

upsert_attribute { logicalName: "Delete Flag", domain: "Flag" } // → { physicalName: "DELETE_YN" } // Flag → YN: same rule in every table

lint_erd // → naming drift, missing words, referential integrity — before any DDL is written

CNTS and YN are not the agent's taste. They are your word list's abbreviations, applied the same way they were applied in every other table your team has modelled. Domains carry the data type, so Content is varchar(1000) everywhere it appears.

Full walkthrough with every tool call: Describe the work, get a governed schema.

Overview

AI agents can query and edit entities, relationships, and domains; generate physical names from a shared team glossary; import/export SQL (7 dialects) and DBML; and compare the model against a live database. Works with both local .erd.json files and ERDs stored on the Sqemo cloud.

Requires Node.js >= 22. Local-file tools work without any account or configuration.

Login is needed for cloud ERD tools, and for the tools marked (Pro) below.

Installation

Claude Code (.mcp.json)
{

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

Claude Desktop

Add the same mcpServers entry to your config file:

  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Cursor (.cursor/mcp.json)
{

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

Login (cloud ERDs and Pro tools)

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

npx sqemo-mcp logout # removes stored credentials

login asks how you want to sign in. Google and GitHub open a browser tab, complete a PKCE OAuth flow, and hand the session back through a one-shot loopback server on 127.0.0.1; the third option takes an email and password in the terminal. Only a refresh token is ever stored.

  • Credentials are stored in ~/.erdmaker/credentials.json (mode 0600 on POSIX); your password is never persisted.
  • Non-interactive shortcuts: --password forces the email + password path, --provider google|github forces a browser path.
  • Piped input skips the menu and goes straight to email + password, so existing automation keeps working: printf 'email\npassword\n' | npx sqemo-mcp login
  • The browser paths need a browser on the same machine (the callback returns to 127.0.0.1). Over SSH or in CI, use --password or the SQEMO_EMAIL / SQEMO_PASSWORD environment variables.

What you can do

36 tools in total.

Read (17 tools)
ToolDescription
list_erds / list_workspacesCloud ERDs and workspaces you belong to (login required)
get_erd_overviewName, dialect, entity/relationship/domain/glossary stats
list_entities / get_entityEntity list and full detail (attributes, keys, logical/physical mapping)
list_relationshipsRelationships with endpoints and cardinality
list_domainsDomain definitions (also from workspace standard glossaries)
search_dictionarySearch the team glossary (logical/physical words, abbreviations, synonyms)
check_namingCheck a logical name against the team naming standard
generate_physical_nameLogical name → physical name via glossary + naming rules
export_sqlCREATE TABLE SQL — mysql, postgres, cubrid, oracle, sqlserver, sqlite, h2
export_dbmlDBML text
validate_erd / lint_erdStructural validation and full lint (naming drift, referential integrity, duplicates)
diff_erdsDiff two sources (files, cloud ERDs, or raw SQL/DBML text) — dry-run before imports
export_alter_sqlMigration (ALTER) script from the physical diff against a baseline — renames stay renames via stable IDs, destructive changes come commented out (Pro)
list_proposalsGlossary proposal queue status (login required)
Live database (2 tools)

Read-only against your own database. Both query only the information schema — never table data — and the connection URL is used by this local process only, never sent to Sqemo servers.

ToolDescription
introspect_dbImport a live PostgreSQL/MySQL schema into an existing ERD (Pro)
check_db_driftCheck a live database or a schema dump against the ERD's physical model — missing/extra tables and columns, PK/FK/NOT NULL mismatches (Pro)
Write (17 tools)
ToolDescription
create_erdNew ERD from scratch or from SQL/DBML text — to a file or the cloud
upsert_entity / delete_entityEntity editing with automatic physical-name derivation
upsert_attribute / delete_attributeAttribute editing — PK rules and FK propagation handled automatically
upsert_relationship / delete_relationshipRelationship editing with automatic FK derivation
upsert_domain / delete_domainDomain definition editing
upsert_dictionary_word / delete_dictionary_wordGlossary editing (standard-linked glossaries are protected)
update_naming_rulesNaming rule editing (delimiter, case, unknown-word handling)
import_sql / import_dbmlReplace an ERD from parsed SQL/DBML (IDs preserved)
auto_layoutAutomatic entity/table layout (dagre)
propose_dictionary_word / withdraw_proposalPropose new glossary words for owner approval

Cloud writes require owner or shared-editor permission and are protected by version CAS with 3-way auto-merge for concurrent edits.

CLI for CI pipelines

Offline, file-based subcommands (no login needed):

# Naming-standard check — exits 1 on violations, great as a CI gate

npx sqemo-mcp lint schema.erd.json

Schema export to stdout

npx sqemo-mcp export schema.erd.json --format sql --dialect postgres > schema.sql npx sqemo-mcp export schema.erd.json --format dbml > schema.dbml

Drift mode compares the model against a real database or a dump, and exits 1 when they disagree (Pro, requires login):

npx sqemo-mcp lint schema.erd.json --db "$DATABASE_URL" [--db-schema public] [--strict]

npx sqemo-mcp lint schema.erd.json --schema dump.sql --dialect postgres npx sqemo-mcp lint --erd --db "$DATABASE_URL" --ignore 'tmp_*'

GitHub Actions example:

- run: npx sqemo-mcp lint schema.erd.json
  • run: npx sqemo-mcp lint schema.erd.json --db "${{ secrets.DATABASE_URL }}"

Environment variables

VariablePurpose
SQEMO_EMAIL / SQEMO_PASSWORDNon-interactive login for CI and SSH sessions (no browser needed)
ERDMAKER_HOMEOverride the credentials directory (default ~/.erdmaker)
ERDMAKER_SUPABASE_URLOverride the API URL (defaults to the Sqemo cloud)
ERDMAKER_SUPABASE_ANON_KEYOverride the API publishable key
ERDMAKER_MAX_REQUESTS_PER_MINUTEPer-minute request cap (default 120, 0 disables)
ERDMAKER_MAX_REQUESTS_PER_DAYDaily request cap (default 10000, 0 disables)

The request caps are a safety net against agents stuck in loops; exceeding them returns a rate_limited error that tells the agent to stop and notify the user.

Errors

All tool errors return { code, message } — e.g. not_authenticated, no_permission, save_conflict (retry after re-reading), validation_failed, rate_limited.

Links

License

MIT

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