The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Hlido MCP listing page.
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.
The server runs as a Cloudflare Worker at:
Claude Code:
Claude Desktop / Cursor / any MCP client (mcpServers config):
Also listed on Smithery and mcp.so.
| 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)
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.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.
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).