Guardian Engine
REMOTE · API.KAIMEILABS.DEV · SCANNED SEP 26
Deterministic recipe verification engine — validates AI-generated recipes against master SOPs.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security46
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 7 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS enforcement could not be verified: the plaintext port answered with HTTP 403, which proves neither a plaintext path nor enforcement. View diagnostics → Unverified
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability78
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 2620 tokens (~374/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the Guardian Engine MCP server?
Guardian Engine is a hosted endpoint at https://api.kaimeilabs.dev/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · api.kaimeilabs.dev
claude mcp add --transport http dev-kaimeilabs-guardian-engine 'https://api.kaimeilabs.dev/mcp'
{
"mcpServers": {
"dev-kaimeilabs-guardian-engine": {
"url": "https://api.kaimeilabs.dev/mcp"
}
}
} {
"servers": {
"dev-kaimeilabs-guardian-engine": {
"type": "http",
"url": "https://api.kaimeilabs.dev/mcp"
}
}
} [mcp_servers.dev-kaimeilabs-guardian-engine] url = "https://api.kaimeilabs.dev/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"dev-kaimeilabs-guardian-engine": {
"type": "remote",
"url": "https://api.kaimeilabs.dev/mcp",
"enabled": true
}
}
} openclaw mcp add dev-kaimeilabs-guardian-engine --url 'https://api.kaimeilabs.dev/mcp' --transport streamable-http
mcp_servers:
dev-kaimeilabs-guardian-engine:
url: "https://api.kaimeilabs.dev/mcp" {
"McpServers": {
"dev-kaimeilabs-guardian-engine": {
"Transport": "http",
"Url": "https://api.kaimeilabs.dev/mcp"
}
}
} assistant mcp add dev-kaimeilabs-guardian-engine -t streamable-http -u 'https://api.kaimeilabs.dev/mcp'
{
"mcpServers": {
"dev-kaimeilabs-guardian-engine": {
"type": "http",
"url": "https://api.kaimeilabs.dev/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 2 Sept 26 0
- Tool “check_allergens” rewrote its description, which is the text the model reads security
- “check_allergens” added an optional parameter “operator_id” cosmetic
- “check_allergens” added an optional parameter “session_id” cosmetic
- “check_allergens” reworded the description of “response_format” cosmetic
- 1 Sept 26 0
- Tool “list_dishes” rewrote its description, which is the text the model reads security
- 26 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Aug 26 0
- Stability: 0.97 → pass security
- 11 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 7 Aug 26 0
- The server no longer declares the “experimental” capability functional
- 31 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 26 Sept 2026 · Probed https://api.kaimeilabs.dev/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=kaimeilabs.dev | CN=YE1,O=Let's Encrypt,C=US | 20 Aug 2026 | 18 Nov 2026 | ECDSA 256 | ECDSA-SHA384 | 681fccd3dc3f7a29a8e373f42bb3b04159f |
| SANs: *.kaimeilabs.dev, kaimeilabs.dev | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of api.kaimeilabs.dev. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| dev. | present | 60074 | 8 | Verified |
| kaimeilabs.dev. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://api.kaimeilabs.dev/mcp | Verified | 200 | |
| http (plaintext) | http://api.kaimeilabs.dev/mcp | Inconclusive | 403 |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
check_allergens ~423
Check ingredients for EU FIC 1169/2011 allergen compliance. Returns a detailed audit trace mapping each ingredient to its EU Annex II allergen group with entry numbers and labels. The safety verdict is deterministic — no LLM involvement in the decision — and is pinned by the returned ``kb_version_hash``. Use check_all_eu_allergens=True for food labelling (detect all allergens). Use restrictions=['dairy', 'gluten'] to check for specific user allergies. Supplying neither runs the full 14-group Annex II scan and sets ``defaulted_to_full_scan`` — the tool never reports "safe" without checking. ``is_safe`` answers "was a supplied restriction violated?"; ``declared_allergens`` answers "what is actually present?". Read both.
| Name | Type | Req | Description |
|---|---|---|---|
| check_all_eu_allergens | boolean | – | If True, scans for all 14 EU Annex II allergens regardless of restrictions list. Use this for food labelling (declare all allergens present). |
| dish_name | – | – | Optional dish name for reporting context. |
| ingredients | array | yes | List of ingredient names (freeform or canonical IDs). Examples: ['butter', 'wheat_flour', 'eggs', 'peanut_butter'] |
| operator_id | – | – | Optional audit identifier for the calling operator (letters, digits, hyphens; max 64 chars). Tags the check in the telemetry log. Defaults to 'anonymous'. |
| response_format | string | – | Response format: 'json' (default) for the machine-actionable payload, or 'text' for a human-readable report. |
| restrictions | – | – | Allergen group IDs to check against user restrictions. Valid IDs: gluten, crustaceans, eggs, fish, peanuts, soy, dairy, tree_nuts, celery, mustard, sesame, sulphites, lupin, molluscs. If None and che… |
| session_id | – | – | Optional session identifier so repeated checks are stitched into one trajectory. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | – | yes | – |
No examples provided.
check_safety ~182
Run master-independent safety checks on a candidate recipe. Works for ANY recipe — no dish resolution, no master SOP required. Checks poultry internal-temperature safety and scans all ingredients for the 14 EU FIC 1169/2011 Annex II allergen groups. The verdict is a deterministic function of (candidate, kb_version_hash) — no LLM involvement. Use this when verify_recipe has no matching master for the dish: the safety layer still applies to every recipe. Returns: Safety envelope: verdict (PASSED/FAILED per the zero-critical policy gate), safe flag, issues found, and the pinned kb_version_hash.
| Name | Type | Req | Description |
|---|---|---|---|
| candidate_json | string | yes | The full candidate recipe as a JSON string. Checked for poultry internal temperature safety (≥74°C) and EU FIC 1169 allergen presence. |
Structured output declared, but exposes no named fields.
No examples provided.
fix_recipe ~434
Deterministically repair a candidate recipe against a Guardian master. Verifies the candidate, applies every machine-actionable correction the symbolic engine produced (missing ingredients, quantities, temperatures, durations, cooking media, ingredient substitutions), then re-verifies the result. No LLM is used — the repair is a deterministic function of the candidate recipe and the master ruleset. Findings that need recipe-authoring judgement — adding a whole cooking phase, rewriting step instructions, ingredient-ratio rebalancing — are not auto-applied; they are returned under `patches_skipped`. Allergen findings are never auto-fixed. The response reports the verdict before and after so the caller can see exactly what was resolved. Note: `verdict_after` may still be FAILED when structural changes (e.g. adding a cooking step, rebalancing ingredient ratios) are needed. These require recipe-authoring judgement and are returned under `patches_skipped`. Callers should NOT assume a fixed recipe will pass verification.
| Name | Type | Req | Description |
|---|---|---|---|
| candidate_json | – | – | The full candidate recipe as a JSON string or object — same schema as verify_recipe's candidate_json (title, cuisine, ingredients[], steps[]). |
| dish | – | – | Alias for dish_name — for backward compatibility with production clients. |
| dish_name | string | – | Name of the dish to repair against (e.g. 'carbonara', 'rendang', 'roast-chicken'). Use list_dishes() to see all available recipes and their aliases. |
| master_json | – | – | Optional user-supplied master SOP to repair against (BYO master, ADR-018), same schema as catalog masters. When provided, the catalog is bypassed and dish_name may be omitted; patches (including sugg… |
| original_prompt | – | – | Optional. The user's original cooking request, used only for safety-context awareness during verification. Does not change which fixes are applied. |
| response_format | string | – | Response format: 'json' (default — includes the full fixed_recipe object) or 'text' (human-readable report). |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_master ~256
Return the canonical master recipe for a dish (read-only, no LLM). Enables compare-then-verify agentic loops: fetch the master, diff it against the user's recipe, then call verify_recipe — instead of verifying blind. Pure knowledge-base lookup, no LLM in the hot path. Master content is transparent by default (ADR-009 / ADR-010): exact temperatures, timings, and EU FIC 1169/2011 allergen codes are returned verbatim, never obfuscated. No score is included (ADR-013) — this is reference data, not a verdict. Returns ingredients, steps (technique/temperature/timing/medium), and the EU FIC allergens derived from the required ingredients. Unknown dishes return a structured UNKNOWN_DISH error.
| Name | Type | Req | Description |
|---|---|---|---|
| dish_name | string | – | Name or alias of the dish to fetch the canonical master recipe for (e.g. 'carbonara', 'spaghetti bolognese', 'angel food cake'). Alias resolution and slug normalisation are applied. Use list_dishes()… |
| response_format | string | – | Response format: 'json' (default, structured) or 'text' (human-readable summary). |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
list_dishes ~192
List all available master dishes with rich metadata. This is a browse/discovery step, not the verification itself — after picking a dish, call verify_recipe(dish_name=<slug>, candidate_json=<your recipe>) to actually check a candidate against it (or fix_recipe to auto-repair it). Returns: Dictionary with `schema_version`, a `dishes` list (slug, title, cuisine, region, aliases, complexity per dish), and a `next_step` hint describing how to proceed to verification.
| Name | Type | Req | Description |
|---|---|---|---|
| cuisine_filter | string | – | Optional cuisine to filter by. Case-insensitive exact match against the dish's cuisine field. Valid values: italian | french | spanish | british | thai | chinese | indian | indonesian | japanese | ma… |
Structured output declared, but exposes no named fields.
No examples provided.
verify_dietary_claim ~188
Verify that a recipe satisfies a dietary claim (vegan, halal, gluten-free, ...). Reuses the existing allergen-detection logic plus a curated forbidden-ingredient map (apps/guardian/knowledge/dietary_claims.yaml). Returns a structured verdict with the specific offending ingredients and a short justification — never a vague paraphrase.
| Name | Type | Req | Description |
|---|---|---|---|
| candidate_json | string | – | Recipe JSON string (CandidateRecipe schema). Expected shape: {"title": "...", "ingredients": [{"name": "..."}, ...], "steps": [...]}. Only the ingredient list is required for dietary verification. |
| claim | string | – | Dietary claim to verify: vegan | vegetarian | gluten_free | dairy_free | nut_free | halal | kosher. |
| response_format | string | – | Response format: 'text' (default, human-readable) or 'json' (machine-actionable). |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
verify_recipe ~745
Verify a candidate recipe against a Guardian master recipe. Uses deterministic graph-based verification to check technique, temperature, timing, cooking medium, and required ingredients. **Verdict**: `verdict` is strictly PASSED or FAILED and is policy-driven — any CRITICAL finding fails the recipe; more than 5 WARNINGs also fail. There is no score in the response (ADR-013): gate on `verdict` and explain failures from `findings`. **Field audience**: `issue` is a machine-readable code for programmatic handling — never show it to end users. Use `title` and `suggested_correction` as the user-facing fields. Returns structured JSON by default (machine-actionable findings and patches); response_format="text" renders a human-readable report. Both formats are transparent (ADR-009 / ADR-018): exact values and ingredient names included.
| Name | Type | Req | Description |
|---|---|---|---|
| candidate_json | – | – | The full candidate recipe as a JSON string or object. Expected schema: {"title": "<string>", "cuisine": "<string>", "serves": <int>, "ingredients": [{"name": "<string>", "quantity": "<string>"}], "st… |
| dish | – | – | Alias for dish_name — for backward compatibility with production clients. |
| dish_name | string | – | Name of the dish to verify against (e.g. 'carbonara', 'rendang', 'roast-chicken', 'confit', 'cheesecake', 'kung-pao', 'fried-chicken', 'brisket', 'wellington', 'cheese-souffle'). Use list_dishes() to… |
| master_json | – | – | Optional user-supplied master SOP to verify against (BYO master, ADR-018), as a JSON string or object using the same schema as catalog masters (dish_name, steps[], required_ingredients[]; see get_mas… |
| operator_id | – | – | Optional audit identifier for the calling operator (letters, digits, hyphens; max 64 chars). Tags the verification in the tamper-evident log and compliance record. Defaults to 'anonymous'. |
| original_prompt | – | – | RECOMMENDED for best results. Include the user's original cooking request. Copy the user's exact message that triggered this recipe (e.g., 'Make me a spicy vegan rendang' or 'Generate a traditional c… |
| response_format | string | – | Response format: 'json' (default — machine-actionable verdict, findings, and patches) or 'text' (human-readable report). |
| session_id | – | – | Optional session ID to track an agent's improvement loop across multiple attempts. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the Guardian Engine MCP server?
Guardian Engine is an MCP server listed in the public MCP registry as dev.kaimeilabs/guardian-engine. Deterministic recipe verification engine, validates AI-generated recipes against master SOPs. This page covers its hosted endpoint (https://api.kaimeilabs.dev/mcp).
Is the Guardian Engine MCP server safe to use?
Guardian Engine scores 74 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Guardian Engine MCP server expose?
Guardian Engine exposes 7 tools: verify_recipe, fix_recipe, list_dishes, get_master, check_safety, and 2 more. Their descriptions and schemas cost roughly 2,420 tokens of context every time the server is loaded.
Does the Guardian Engine MCP server require authentication?
No. We connected to Guardian Engine without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Guardian Engine MCP server still maintained?
Guardian Engine is still listed as active in the MCP registry. We last reached this channel on 26 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.