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Guardian Engine

by kaimeilabsversion 1.0.0i★ –iRuns in the cloud
Registry namedev.kaimeilabs/guardian-engine

Install

Overview

Description from the maker (original English)

Deterministic recipe verification engine — validates AI-generated recipes against master SOPs.

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.

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://api.kaimeilabs.dev/mcp

Run this in your terminal

claude mcp add --transport http guardian-engine https://api.kaimeilabs.dev/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "guardian-engine": {
      "url": "https://api.kaimeilabs.dev/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": {
    "guardian-engine": {
      "type": "http",
      "url": "https://api.kaimeilabs.dev/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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://api.kaimeilabs.dev/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain kaimeilabs.dev (the registry checks domain ownership)

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32706 servers in this category
  • Published to the registry more recently than 3% of the other 32706 servers in this category
  • Basic checks equal to or better than 100% of the other 32706 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 Guardian Engine 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Kanal Varna — drains, leaks & plumbing (Varna, BG)

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Runs in the cloud★ 211Updated 2 days ago
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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.

Guardian Engine — API & MCP Integration Guide

A deterministic oracle inside your agent's generate→verify loop. Your LLM authors the recipe; Guardian judges it. Guardian Engine catches hallucinated temperatures, missing techniques, wrong ingredients, and impossible cooking steps before they reach the pan — and returns machine-actionable patches so your agent can fix exactly what's wrong. Recipes are the first vertical — the same deterministic approach generalises to any procedural domain where correctness matters.

Why an oracle instead of another LLM critique? An LLM critique is a *sample* — it misses differently on every run. Guardian's symbolic engine makes guarantees a generative model structurally cannot:

  • Exhaustive checking — every rule is evaluated on every call, not a sample of them.
  • Certified negatives — "no EU Annex II allergen source detected" is an absence claim an LLM cannot make.
  • Replayable verdicts — same input + same spec + same knowledge-base version → byte-identical output. Every response pins kb_version_hash and master_hash so any verdict is reproducible as an audit record.
  • Machine-actionable repair — findings come with structured patches (and fix_recipe can apply them deterministically); your agent authors the rest and re-verifies.
  • Bring your own spec — verify against *your* house recipe or SOP via master_json, not just the bundled catalog.

Endpoint: https://api.kaimeilabs.dev/mcp Transport: Streamable HTTP (MCP) Auth: None — free during early access (fair use applies)


## ⚠️ Safety & Liability Notice

Guardian Engine is an automated, informational recipe-verification tool. It is not a

food-safety, medical, nutritional, or regulatory-compliance authority, and its output is not

professional advice.

- Allergens are not guaranteed. Allergen warnings (including check_safety,

check_allergens, and the allergens field of every verification response) come from an

automated knowledge base that may be incomplete or wrong. A PASSED verdict or an empty

allergen list is NOT a guarantee that a recipe is free of any allergen or safe for any

individual. Never rely on Guardian to decide whether a food is safe for someone with a

food allergy or intolerance — always verify against the actual ingredient/product labelling

and consult a qualified professional.

- Dietary and religious claims are not certifications. verify_dietary_claim results

(vegan, vegetarian, gluten-free, dairy-free, nut-free, halal, kosher) are automated

ingredient-level checks — they are not a substitute for certification by a recognised

dietary or religious authority.

- Repaired recipes are not certified safe. fix_recipe output must be reviewed by a human

before being cooked, served, or published; allergen findings are never auto-fixed and a

repaired recipe may still fail verification.

- Cooking-safety findings are informational and must not replace certified guidance (e.g.

USDA, EU FIC, or your local food-safety authority).

- No warranty. The Service is provided "AS IS", without warranty of any kind. To the maximum

extent permitted by law, Kaimei Labs accepts no liability for any loss, injury, or damage

arising from use of, or reliance on, Guardian output.

Use of the API constitutes acceptance of the full Terms of Service

(warranty disclaimer, limitation of liability, indemnification).


Connect Your Agent

Guardian is a hosted MCP server. No install, no API key, no Docker. Pick your client and paste the config.

Claude Desktop

Add to your claude_desktop_config.json:

{

"mcpServers": { "guardian": { "url": "https://api.kaimeilabs.dev/mcp", "transport": "streamable-http" } } }

Restart Claude Desktop. Ask: *"List the available dishes in Guardian Engine"* to confirm.

Cursor

Open Settings → MCP Servers → Add new MCP server, then paste:

{

"guardian": { "url": "https://api.kaimeilabs.dev/mcp", "transport": "streamable-http" } }

VS Code (GitHub Copilot)

Add to your .vscode/mcp.json (or user settings.json under "mcp"):

{

"servers": { "guardian": { "type": "http", "url": "https://api.kaimeilabs.dev/mcp" } } }

Windsurf

Add to your Windsurf MCP config:

{

"mcpServers": { "guardian": { "serverUrl": "https://api.kaimeilabs.dev/mcp" } } }

Smithery (One-Click)

— auto-configures Claude Desktop, Cursor, and more.

[!WARNING]

Smithery Proxy Limitation: The default Smithery proxy URL (guardian-engine--kaimeilabs.run.tools) does not support Streaming HTTP and will silently fail. You MUST edit your MCP config after installation to use the direct endpoint: https://api.kaimeilabs.dev/mcp.

Glama.ai

Guardian Engine is also listed on [Glama.ai](https://glama.ai/mcp/servers/kaimeilabs/guardian-engine) — discover and connect to MCP servers from the Glama directory.

Any MCP Client (Python SDK)
import asyncio

from mcp.client.session import ClientSession from mcp.client.streamable_http import streamable_http_client from httpx import AsyncClient

async def main(): async with AsyncClient(timeout=30.0) as http: async with streamable_http_client("https://api.kaimeilabs.dev/mcp", http_client=http) as streams: read_stream, write_stream, _ = streams async with ClientSession(read_stream, write_stream) as session: await session.initialize() result = await session.call_tool("list_dishes", arguments={"cuisine_filter": "french"}) print(result)

asyncio.run(main())

pip install mcp>=1.2.1 httpx>=0.27.0

Tools

The MCP server exposes seven tools. verify_recipe is the core loop; the rest support the compare → verify → repair cycle and master-independent safety checks.

verify_recipe

Verify a candidate recipe against a Guardian master spec. Returns a structured report with a strict PASSED/FAILED verdict (no scores) and detailed findings, each citing the rule it violated. The verdict is policy-driven: any CRITICAL finding fails the recipe; more than 5 WARNINGs also fail.

ParameterTypeRequiredDescription
dish_namestringYes*Name or alias of the dish (e.g. "carbonara", "rendang", "kung-pao", "bourguignon"). dish is accepted as a backward-compatible alias. *Optional when master_json is supplied
candidate_jsonstring \objectYesFull recipe as JSON — see schema.md. Max 500 KB
master_jsonstring \objectNoBring your own master — your house recipe/SOP to verify against, using the same schema as catalog masters. Bypasses the bundled catalog; the response pins your spec via master_hash (sha256) and master_source: "user"
original_promptstringNoThe user's original request that generated the recipe
response_formatstringNo"text" (default) or "json". Use "json" for machine-actionable patches in agentic self-correction loops
session_idstringNoTrack an agent's improvement loop across multiple attempts
operator_idstringNoAudit identifier tagged into the verification log and compliance record (letters, digits, hyphens; max 64 chars)

Tip — include the original prompt for personalised feedback: When you include original_prompt (e.g. *"Make a spicy vegan rendang"*), Guardian matches findings to the user's stated dietary needs and flavour preferences, and activates audience-sensitive safety checks (e.g. flagging honey in recipes for infants, raw egg for pregnant users). Without it, Guardian still returns the full verdict and all findings.

Unknown dish? If the dish isn't in the catalog, the UNKNOWN_DISH error carries a safety_fallback verdict — the master-independent safety layer (poultry temperature + allergen scan) still runs, so your agent always leaves with deterministic value.

Field audience: issue is a machine-readable code for programmatic handling — don't show it to end users. Use title and suggested_correction as the user-facing fields.

fix_recipe

Deterministically repair a candidate recipe against a master spec. Verifies, applies every machine-actionable patch the symbolic engine produced (missing ingredients, quantities, temperatures, durations, cooking media, substitutions), then re-verifies. No LLM is involved — the repair is a deterministic function of the candidate and the ruleset.

ParameterTypeRequiredDescription
dish_namestringYes*Dish to repair against (dish alias accepted). *Optional when master_json is supplied
candidate_jsonstring \objectYesSame schema as verify_recipe
master_jsonstring \objectNoBYO master to repair against; patches (including suggested_step templates) are built from *your* spec
original_promptstringNoUsed only for safety-context awareness during verification
response_formatstringNo"text" (default) or "json" — use "json" to receive the full fixed_recipe object

The response reports verdict_before → verdict_after, fully_fixed, patches_applied, patches_skipped, unresolved_findings, and the fixed_recipe. Changes that need recipe-authoring judgement (adding a whole cooking phase, rewriting instructions, ratio rebalancing) are not auto-applied — they're returned under patches_skipped, with add_step patches carrying a suggested_step template from the master for *your* agent to author in the recipe's own voice and re-verify. Allergen findings are never auto-fixed. Do not assume a fixed recipe will pass — check verdict_after.

list_dishes

List all master recipes Guardian can verify against, with rich metadata (slug, title, cuisine, region, aliases, complexity).

ParameterTypeRequiredDescription
cuisine_filterstringNoCase-insensitive cuisine filter (e.g. "french", "chinese", "thai")
get_master

Return the canonical master recipe for a dish — a pure knowledge-base lookup, no LLM. Enables compare-then-verify loops: fetch the master, diff it against your recipe, then call verify_recipe instead of verifying blind. Master content is transparent by default: exact temperatures, timings, and EU FIC 1169/2011 allergen codes are returned verbatim. Also the live reference for the master_json schema when bringing your own master.

ParameterTypeRequiredDescription
dish_namestringYesName or alias of the dish
response_formatstringNo"json" (default) or "text"
check_safety

Master-independent safety checks for any recipe — no dish resolution or master spec required. Checks poultry internal-temperature safety (≥ 74 °C) and scans all ingredients against the 14 EU FIC 1169/2011 Annex II allergen groups. Use it when verify_recipe has no matching master.

| Parameter |

Only the beginning is shown; read the rest in the repo

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