Tdcv2 runs on your own machine — the client starts it, so there is no endpoint to ping. 323 installs a week from npm. Last commit 17 Oct 2026.
Fake, mock and test data generator: CSV, JSON, SQL from a .tdc config, made locally by TDCv2.
We read the source, 3 h ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const r = spawnSync(process.execPath, [join(root, bin), ...args], { cwd: ROOT, encoding: 'utf8', timeout: 10 * 60 * 1000 });
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add tdcv2 -- npx -y tdcv2-mcp
{
"mcpServers": {
"tdcv2": {
"command": "npx",
"args": [
"-y",
"tdcv2-mcp"
]
}
}
}
[mcp_servers.tdcv2]
command = "npx"
args = ["-y", "tdcv2-mcp"]
{
"mcpServers": {
"tdcv2": {
"command": "npx",
"args": [
"-y",
"tdcv2-mcp"
]
}
}
}
{
"servers": {
"tdcv2": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tdcv2-mcp"
]
}
}
}
Fake test data (CSV, JSON, SQL) from a schema. Reserved-range identifiers; reproducible by seed.
SQL over real-world data — FDA, SEC, blockchain, genomics, CVEs, and more. No config.
Generates relationally valid test data in a PostgreSQL database from its live schema.
Local-first bridge: export your own Mi Fitness (Xiaomi) health data to SQLite/JSON/CSV and MCP.
Read-only WHOOP v2 data for MCP clients, with local SQLite cache and CSV/JSONL/Parquet exports.
Draft and test marketing email for contacts in your own database, from a local desktop app.
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
Tabular data for AI agents — load CSV/JSON/XLSX, query, group-by, stats (no database).
Answers built from our own checks of this server.