MCP server

Hlido Agent Reviews Official

eu.hlido/mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Independent AI-agent reviews: trust checks, evidence scorecards, incident registry, recommendations.

Website Source

At a glance

Type

MCP server

Publisher

hlido.eu (verified by the MCP Registry)

Status

Working at last check

Tools

19

Token cost

About 4,966 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http hlido https://hlido.eu/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.hlido]
url = "https://hlido.eu/mcp"

Gemini CLI

{"mcpServers":{"hlido":{"httpUrl":"https://hlido.eu/mcp"}}}

Cursor

{"mcpServers":{"hlido":{"url":"https://hlido.eu/mcp"}}}

VS Code

{"servers":{"hlido":{"type":"http","url":"https://hlido.eu/mcp"}}}

Antigravity

agy mcp add hlido https://hlido.eu/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"hlido","server_url":"https://hlido.eu/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"hlido","server_url":"https://hlido.eu/mcp"}

Tools

• commerce_check ~204 tokens
  Check whether a Hlido-reviewed agent is ready to be delegated to / transacted with in the agentic-commerce world (MCP/ACP/AP2). Returns its independent Agentic-Commerce Readiness score (0-100), band (COMMERCE-READY/INTEGRABLE/SURFACE-ONLY/CLOSED), the programmatic surfaces it exposes, and the eviden
• compare_agents ~197 tokens
  Head-to-head trust comparison of 2-5 Hlido-reviewed agents. Returns each agent's Laddoo score, tier, dimension scores, and key claim verdicts side by side so you can pick the most trustworthy option for a task. Use this once you've shortlisted candidates (via find_trusted, find_similar_agents, or re
• explain ~202 tokens
  Structured natural-language explanation of why a Hlido-reviewed agent has its current score. Pulls claim-by-claim evidence from the published scorecard. Pass an optional dimension (one of: reliability, transparency, integration, security, evidence) to filter; omit for the full picture. Returns each
• find_similar_agents ~240 tokens
  Semantic search over Hlido's review corpus. Given a task description (e.g. 'I need an agent that can refactor TypeScript and edit multiple files at once'), returns the top-N reviewed agents ranked by embedding similarity, each with their Laddoo score, evidence_tier, and review URL. Use this when you
• find_trusted ~264 tokens
  Discover Hlido-reviewed agents that match a free-text need, ranked by trust. Returns reviewed agents at or above a minimum tier, each with its Laddoo score, tier, and review URL. Use this for keyword/need-based discovery; for semantic task-matching prefer find_similar_agents, and for structured cons
• get_behavioral_trace ~228 tokens
  Fetch the behavioral evaluation trace for a Hlido-reviewed agent — per-task pass/fail, adapter used, behavioral tier, and signed trace link. Returns status 'not_yet_bench_tested' if the slug hasn't been evaluated yet, or 'not_testable' if the agent's interface doesn't support automated bench runs. U
• get_incidents ~288 tokens
  Fetch published incidents from Hlido's NTSB-style failure registry — real observed agent failures (availability outages, regressions, hallucinations, safety issues) plus Hlido self-reported process incidents, each with severity, evidence, and vendor-response status. Filter by agent slug, severity, o
• get_scorecard ~136 tokens
  Fetch the full sanitized claim-vs-evidence scorecard for one Hlido-reviewed agent. Returns every claim, verdict, evidence quote, source surface, and (for CLI/API tests) the captured command + exit_code + duration. Schema v1.0. Use this for agent-to-agent pre-flight evaluation.
• intel_query ~484 tokens
  Query Hlido's market-intelligence store: durable, evidence-cited claims about the AI-agent market and adjacent domains (agent economy, payments rails, EU compliance), each with dated evidence, confidence, and typed relations to other intel. Filter by any facet: sector (ISIC code or text), geo (ISO c
• market_pulse ~250 tokens
  Fetch the Agent Market Pulse — machine-readable market intelligence for the AI-agent market, derived from Hlido's independently tested corpus (never vendor self-reports): tier-health distribution, per-category health, new-entrant rate, public-surface readiness, EU AI Act Article-50 compliance bands,
• recommend ~314 tokens
  Constraint-driven recommendation across Hlido's reviewed agents. Pass any combination of: category, min_score, tier, use_case, max_results. Returns ranked candidates each with a why_match line. Use this when you have buyer constraints (budget, category, capability) and want Hlido's filtered shortlis
• report_review_issue ~249 tokens
  Report an issue with a Hlido review (stale info, wrong verdict, missing claim, broken link). Use when calling get_scorecard or trust_check returns data you can prove is incorrect. Hlido's R1 maintenance routine processes reports daily and fires re-tests via dispute-retest sub-agent.
• request_quick_audit ~276 tokens
  Request that Hlido audit a NEW AI agent that has no review yet. Use this when trust_check or get_scorecard returns no_review_found and you need a verdict before delegating to the unknown agent. Returns a future scorecard URL + ETA. Free-tier rate-limited (5/day per anonymous, 50/day per identified).
• scan_mcp ~357 tokens
  On-demand independent SAFETY scan of an MCP server — call this BEFORE installing or connecting to one. Give it an HTTP(S) MCP endpoint URL (scanned live in seconds), or an npm/PyPI package name or GitHub repo (queued for an isolated sandbox scan — local stdio servers execute code, so Hlido never run
• submit_agent ~287 tokens
  Nominate a new AI agent for Hlido to review. Use this when an agent isn't in Hlido's corpus yet (trust_check returned no_review_found) and you want it added. Returns a confirmation with a tracking reference; the review is queued and produces a public scorecard. If you need a verdict right now rather
• subscribe ~187 tokens
  Preview — Wave 3 will add persistent webhook + RSS subscriptions. For now this returns the agent's current state plus advisory polling instructions (RSS at /changelog/feed.xml or polling /data/attestations/{slug}.json). Use this to register interest in being notified when a slug's verdict changes.
• trust_check ~310 tokens
  The core Hlido trust query: is a specific AI agent trustworthy? Given one agent (by Hlido slug or product/homepage URL) it returns the independent Laddoo trust score (0-100), tier (VITAL/STEADY/FADING/FLATLINE), a one-line verdict, a claim-verification summary, and any known incidents. Call this FIR
• verify_claim ~207 tokens
  Fact-check one specific marketing or capability claim about an agent against Hlido's independent testing. Returns Hlido's verdict (PASS/FAIL/PARTIAL/UNKNOWN) with a quoted evidence snippet and its source surface — or an honest null when that exact claim wasn't tested (absence of evidence, not proof)
• verify_transparency ~286 tokens
  Check any AI agent's EU AI Act Article-50 transparency posture — including agents Hlido has NOT reviewed yet. Returns two clearly separated layers: (1) Hlido's independent register verdict when the agent is in our reviewed corpus, and (2) a live public-surface probe of the Article-50 signals (AI-int

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