Server data from the Official MCP Registry
Deterministic test data from a .tdc config, generated locally by the TDCv2 engine.
About
Deterministic test data from a .tdc config, generated locally by the TDCv2 engine.
Security Report
Valid MCP server (3 strong, 3 medium validity signals). 1 code issue detected. No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
12 files analyzed · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-nickliapin-tdcv2": {
"args": [
"-y",
"tdcv2-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
TDCv2 for AI agents
Let your coding agent make test data with TDCv2:
it 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.
Two parts, one version:
- a skill — teaches the agent the TDC language, the workflow and the traps
(
skills/tdcv2); - an MCP server,
tdcv2-mcp— the same, as tools: check a config, generate, find data packs, summarise a file, read the docs (mcp/).
Install
Claude Code — the plugin brings both the skill and the server:
claude plugin marketplace add NickLiapin/tdcv2-agents
claude plugin install tdcv2@tdcv2
Codex, Copilot, Gemini CLI, Cursor and other agents that read skills — put the skill where your agent looks for it:
npx -y tdcv2-mcp install-skill # ~/.claude/skills/tdcv2
npx -y tdcv2-mcp install-skill --agents # ~/.agents/skills/tdcv2
npx -y tdcv2-mcp install-skill --project # ./.claude/skills/tdcv2
npx -y tdcv2-mcp install-skill --dir <skills folder>
Any MCP client (Claude Desktop, Cursor, VS Code…):
{ "mcpServers": { "tdcv2": { "command": "npx", "args": ["-y", "tdcv2-mcp"] } } }
On Windows use "command": "npx.cmd" if the client cannot start npx. Everything needs
Node.js 20 or newer.
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.
Privacy
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:
- the plugin starts the server with
npx -y tdcv2-mcp@<the plugin's 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 …in the commands above does the same, and so doesnpx -y tdcv2 …when the agent runs the engine in a project that has none of its own;- with an engine of another version, the agent may read that version's doc page from
raw.githubusercontent.com; - data packs are downloaded only when you or the agent run
tdcv2 pack add; - a config with
<gen type="http" src="…">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.
Versions
This release, 0.1.1, is checked against TDCv2 0.3.3. 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.
License
MIT
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