Hlido Agent Reviews

Independent trust scores, claim audits, and comparisons for AI agents — queryable by your agent over MCP.

Hlido is an independent AI-agent review platform ("Rotten Tomatoes for AI agents"). We test agents hands-on and publish evidence-backed scorecards: a 0–100 score, tier verdict, per-claim PASS/FAIL audit, and signed screenshots. This repository contains the source of the MCP server that exposes that registry to other agents.

Use the hosted server (no install)

The server runs as a Cloudflare Worker at:

https://hlido.eu/mcp

Claude Code:

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

Claude Desktop / Cursor / any MCP client (mcpServers config):

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

Also listed on Smithery and mcp.so.

Tools

Tool	What it answers
trust_check	"Is agent X trustworthy?" — score, tier, verdict for a slug
find_trusted	"Find me a trusted agent for " — filtered registry search
verify_claim	"Does X really do Y?" — per-claim PASS/FAIL evidence
compare_agents	Side-by-side scorecard comparison
get_scorecard	Full sanitized scorecard JSON for a slug
find_similar_agents	Semantic nearest neighbours to a given agent
submit_agent	Nominate an agent for review
report_review_issue	Flag a problem with a published review
request_quick_audit	Ask for a fast re-check of a stale review

(plus discovery/metadata tools — see src/index.mjs for the live tool table)

Design principles

• Public data only. The server reads the same JSON published at hlido.eu/data/* (registry, scorecards, attestations). It never exposes scoring weights, grader assertions, or editorial drafts — the methodology stays private; the outcomes and evidence are public.
• No auth, no tracking. Anonymous JSON-RPC. Lightweight daily per-tool counters are the only telemetry.
• Thin by intent. This is an adapter over open data. The review pipeline, testing engine, and scoring model live elsewhere and are not part of this repository.

Self-hosting

It's a standard Cloudflare Worker. Copy wrangler.toml.example to wrangler.toml, set your account id, and npx wrangler deploy. Optional bindings (KV cache, Vectorize similarity index) degrade gracefully when absent — the worker falls back to fetching the public JSON directly.

Data & licensing

• Code: Apache-2.0
• Review data: CC-BY via the public data mirror and the HF dataset

Links

• Website: https://hlido.eu
• Agent manifest: https://hlido.eu/agent-manifest.json
• llms.txt: https://hlido.eu/llms.txt
• Public data mirror: https://github.com/ankitkapur1992-hlido/hlido-public

Run with Docker

docker build -t hlido-mcp .
docker run -p 8080:8080 hlido-mcp

The container runs the worker on the local workerd runtime via wrangler dev — no Cloudflare account needed. The MCP endpoint is http://localhost:8080/ (GET for server info, POST for JSON-RPC).