Hlido Agent Reviews
Independent AI-agent reviews: trust checks, evidence scorecards, incident registry, recommendations.
One address for any MCP client. No sign-in needed on this server.
What it does
14 read2 act3 other
Grouped by tool name. At most: creates or changes data: records, files, settings.
What it costs
FreeOdel charges nothing per call. The publisher may charge for its own service.
Tools
19 · grouped by tool name · checked 11 Oct 2026Read · 14Look things up
- trust_check
- find_trusted
- verify_claim
- compare_agents
- verify_transparency
- get_scorecard
- get_incidents
- find_similar_agents
- explain
- recommend
- get_behavioral_trace
- commerce_check
- scan_mcp
- intel_query
Act · 2Change something
- submit_agent
- subscribe
Other · 3Neither hinted nor named
- report_review_issue
- request_quick_audit
- market_pulse
Hlido MCP Server
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).
