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Hlido Agent Reviews

Official registry AI and agents

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

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http hlido-agent-reviews 'https://hlido.eu/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "hlido-agent-reviews": {
            "type": "http",
            "url": "https://hlido.eu/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Hlido MCP Server
  2. Use the hosted server (no install)
  3. Tools
  4. Design principles
  5. Self-hosting
  6. Data & licensing
  7. Links
  8. Run with Docker

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

ToolWhat it answers
trust_check"Is agent X trustworthy?" — score, tier, verdict for a slug
find_trusted"Find me a trusted agent for <need>" — filtered registry search
verify_claim"Does X really do Y?" — per-claim PASS/FAIL evidence
compare_agentsSide-by-side scorecard comparison
get_scorecardFull sanitized scorecard JSON for a slug
find_similar_agentsSemantic nearest neighbours to a given agent
submit_agentNominate an agent for review
report_review_issueFlag a problem with a published review
request_quick_auditAsk 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

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).

Frequently asked questions

What is Hlido Agent Reviews?

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

How do I install Hlido Agent Reviews?

It runs as a remote server. In Claude Code: claude mcp add --transport http hlido-agent-reviews 'https://hlido.eu/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Hlido Agent Reviews need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Hlido Agent Reviews open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Hlido Agent Reviews?

It is published by ankitkapur1992-hlido. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.