NinFenz Content Gate runs on your own machine — the client starts it, so there is no endpoint to ping. 169 installs a week from npm. Last commit 8 Nov 2026.
AI output assurance with versioned contracts, deterministic release gates and reproducible evidence.
We read the source, 14 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.
этот файл ставится пользователю, но в репозитории его нет
dest = os.path.join(root, sig_rel)
proc = subprocess.run(argv, cwd=cwd, capture_output=True)
const r = spawnSync(py.cmd, child, { cwd: workdir, stdio: 'inherit', env: env });
"protocol/decision_layer.json": "ewogICJhZGFwdGVycyI6IFsKICAgIHsKICAgICAgImNhbGlicmF0ZWQiOiBmYWxzZSwKICAgICAgImlkIjogInN0dWIiLAogICAgICAiaW5fZ2F0ZV9wYXRoIjogdHJ1ZSwKICAgICAgImtpbmQiOiAib2ZmbGluZS1kZXRlcm1pbmlzdGljIgogICAgfSwKICAgIHsKICAgICAgImNhbGlicmF0ZWQiOiB0cnVlLAogICAgICA…
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 ninfenz -- npx -y ninfenz
{
"mcpServers": {
"ninfenz": {
"command": "npx",
"args": [
"-y",
"ninfenz"
]
}
}
}
[mcp_servers.ninfenz]
command = "npx"
args = ["-y", "ninfenz"]
{
"mcpServers": {
"ninfenz": {
"command": "npx",
"args": [
"-y",
"ninfenz"
]
}
}
}
{
"servers": {
"ninfenz": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ninfenz"
]
}
}
}
Deterministic release gate for AI-written code and coding agents.
Create and evaluate versioned decision models with reproducible results and declared assumptions.
Deterministic GIS geoprocessing with verifiable provenance on every output
Run AI evaluations, record agent traces and gate releases on evidence, with scoped org access.
Deterministic JSON checks with signed evidence and x402-paid execution
Search security findings and contribute versioned, evidence-backed reproduction reports.
Bounded agent exploration with persistent progress, deterministic receipts, and return contracts.
AI-native version control where intent, operation, evidence and decision are first-class objects.
Answers built from our own checks of this server.