Hlido Agent Reviews
Independent AI-agent reviews: trust checks, evidence scorecards, incident registry, recommendations.
Open source Repository Open in the app JSON README (API)
About
Independent AI-agent reviews: trust checks, evidence scorecards, incident registry, recommendations.
Details
- Kind
- MCP servers
- Topic
- Cloud & DevOps
- Publisher
- eu.hlido
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.0.0
- Forks
- 1
- Open pull requests
- 1
- Last push
- 2026-07-15T14:23:41Z
- Repository state
- ativo
- Language
- JavaScript
- License
- MIT
- Added
- 2026-08-29 03:01:33
- Updated
- 2026-08-29 03:01:33
- Origin id
eu.hlido/mcp
README
# Hlido MCP Server
[](https://smithery.ai/server/ankitkapur1992/hlido)
**Independent trust scores, claim audits, and comparisons for AI agents — queryable by your agent over [MCP](https://modelcontextprotocol.io).**
[Hlido](https://hlido.eu) 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:**
```bash
claude mcp add --transport http hlido https://hlido.eu/mcp
```
**Claude Desktop / Cursor / any MCP client** (`mcpServers` config):
```json
{
"mcpServers": {
"hlido": { "url": "https://hlido.eu/mcp" }
}
}
```
Also listed on [Smithery](https://smithery.ai/server/ankitkapur1992/hlido) 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 <need>" — 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](LICENSE)
- Review data: [CC-BY](https://github.com/ankitkapur1992-hlido/hlido-public) via the public data mirror and the [HF dataset](https://huggingface.co/datasets/hlido-eu/agent-benchmark)
## 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
```bash
docker build -t hlido-mcp .
docker run -p 8080:8080 hlido-mcp
```
The container runs the worker on the local [workerd](https://github.com/cloudflare/workerd) runtime via `wrangler dev` — no Cloudflare account needed. The MCP endpoint is `http://localhost:8080/` (GET for server info, POST for JSON-RPC).