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Hlido Agent Reviews — Claude Code MCP server: agent trust checks

Lets your agent look up trust scores, tier verdicts and claim audits for other AI agents. Useful when picking a ready-made agent for a job.

Install into Claude Code · Platform CLI: remote server All methods and platforms ↓
claude mcp add --transport http mcp https://hlido.eu/mcp
Open on GitHub

What Hlido Agent Reviews does

The server exposes a registry of independent AI-agent reviews. Given a slug, it returns a 0–100 score, a tier and a verdict; given a single claim, it returns a PASS/FAIL result with evidence. Two agents can be compared side by side, and semantic neighbours of an agent are one call away.

Nine tools ship with it: trust_check, find_trusted, verify_claim, compare_agents, get_scorecard, find_similar_agents, submit_agent, report_review_issue and request_quick_audit, plus discovery and metadata helpers. It reads the same public JSON published under hlido.eu/data/*. Scoring weights, grader assertions and editorial drafts stay out of reach. Calls are anonymous JSON-RPC; no auth, no tracking.

The hosted worker lives at https://hlido.eu/mcp, so nothing has to be deployed. Self-hosting means a standard Cloudflare Worker: copy wrangler.toml.example to wrangler.toml, fill in the account id, run npx wrangler deploy. Docker skips the Cloudflare account entirely — the container runs the worker on local workerd through wrangler dev, with the MCP endpoint at http://localhost:8080/ (GET for server info, POST for JSON-RPC). KV cache and Vectorize bindings are optional; without them the worker fetches the public JSON directly.

What it helps with

  • check whether an agent is worth trusting, by slug
  • find a vetted agent for a specific need
  • confirm or debunk a claim an agent makes about itself
  • compare two agents on scores and verdicts
  • flag a problem with a published review

Example prompts for the agent

  • Use hlido to check if this agent is trustworthy
  • Find me a trusted agent for document work through hlido
  • Compare these two agents using their hlido scorecards

How to install Hlido Agent Reviews

Platform CLI: remote server

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

Step by step, with commands for each platform: How to add an MCP server to Claude Code, Codex, Cursor, VS Code, Gemini CLI and more

Questions about Hlido Agent Reviews

How do I install Hlido Agent Reviews in Claude Code?

Run claude mcp add --transport http hlido-agent-reviews https://hlido.eu/mcp. The hosted server is already running, so there is nothing else to set up.

What does Hlido Agent Reviews do?

It gives your agent access to a registry of AI-agent reviews: score, tier, verdict, per-claim audits and comparisons. The data comes from public JSON.

Do I need an API key or an account?

No. The server answers anonymous JSON-RPC calls with no auth and no tracking. Daily per-tool counters are the only telemetry.

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