Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
Fake, mock and test data generator: CSV, JSON, SQL from a .tdc config, made locally by TDCv2.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"tdcv2": {
"command": "npx",
"args": [
"-y",
"tdcv2-mcp"
]
}
}
}Run this in your terminal
claude mcp add tdcv2 -- npx -y tdcv2-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tdcv2": {
"command": "npx",
"args": [
"-y",
"tdcv2-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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"tdcv2": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tdcv2-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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified with the GitHub account NickLiapin, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.7) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
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A data generator for your coding agent: fake, mock, synthetic and test data with TDCv2 — realistic names, emails, addresses, phone numbers, IBANs and more. The agent writes a small .tdc config, the TDCv2 engine generates the rows on your machine, and the same config gives the same file, byte for byte, every time you run it. CSV, JSON, SQL inserts or any text format; fields that agree with each other; exact shares; related tables; data packs for 95 languages and 198 countries. Think Faker, but for whole datasets: database seeds, test fixtures, demo data.
Two parts, one version:
skills/tdcv2);tdcv2-mcp — the same, as tools: check a config, generate, find and install data packs, summarise a file, read the docs (mcp/).Claude Code and Cowork — the plugin brings both the skill and the server. The simplest way: in claude.ai or the Claude app, Customize → Plugins → Discover, find TDCv2 — Fake & Test Data Generator, Add; Claude Code picks it up at the next session and keeps it updated. Or from this repository's marketplace:
claude plugin marketplace add NickLiapin/tdcv2-agents
claude plugin install tdcv2@tdcv2
Install one way, not both — otherwise the skill loads twice and two servers start.
Codex, Copilot, Gemini CLI, Cursor and other agents that read skills — put the skill where your agent looks for it:
npx -y tdcv2-mcp@0.1.7 install-skill # ~/.claude/skills/tdcv2
npx -y tdcv2-mcp@0.1.7 install-skill --agents # ~/.agents/skills/tdcv2 npx -y tdcv2-mcp@0.1.7 install-skill --project # ./.claude/skills/tdcv2 npx -y tdcv2-mcp@0.1.7 install-skill --dir
Any MCP client (Claude Desktop, Cursor, VS Code…):
{ "mcpServers": { "tdcv2": { "command": "npx", "args": ["-y", "tdcv2-mcp@0.1.7"] } } }
Claude Desktop starts servers in /: add "env": {"TDCV2_PROJECT": "/path/to/project"} to that entry so the files have a folder to go to. On Windows use "command": "npx.cmd" if the client cannot start npx. Everything needs Node.js 20 or newer.
Step by step for each agent and client: TDC for AI agents.
Then ask in plain words — *"500 customers from 20 countries as CSV"*, *"a pytest test for validate_user on 50 different users"* — and the agent takes it from there: writes the config, checks it with the engine, generates, and hands you the file together with the config that reproduces it.
The engine runs locally. Neither the skill nor the server sends your data or your configs anywhere. The server reads .tdc files and writes generated files only inside the project folder it is started in.
Network access, all of it:
npx -y tdcv2-mcp@0.1.7, its own version (scripts/mcp-launch.mjs), so the first start downloads that exact version and its dependencies, the TDCv2 engine among them, from the npm registry;npx -y tdcv2-mcp@0.1.7 … in the commands above does the same, and so does npx -y tdcv2@0.3.7 …, the exact engine version the agent runs;raw.githubusercontent.com;tdcv2 pack add (through the server: tdc_pack_add, which your client asks you to allow); sends the named values to that URL — only if someone writes such a config.Nothing else is fetched, and nothing is sent. The full policy: PRIVACY.md.
This release, 0.1.7, is checked against TDCv2 0.3.7. The skill's reference is built from the engine's documentation for that version; with another engine version the agent reads that version's pages, and the engine's own check has the last word.
MIT