👑 The evidence layer for MCP — every registry server probed live, graded with verbatim evidence, plus Trust Receipts. Itself an MCP server at mcpqueen.com/mcp (7 tools, no auth).
git clone https://github.com/mcpqueen/mcpqueen{
"mcpServers": {
"mcpqueen": {
"command": "node",
"args": ["/path/to/mcpqueen/dist/index.js"]
}
}
}MCP Servers overview
# mcpqueen.com — the evidence layer for MCP
<a href="https://glama.ai/mcp/servers/@mcpqueen/mcpqueen">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@mcpqueen/mcpqueen/badge" alt="MCP Queen MCP server" />
</a>
**LIVE at https://mcpqueen.com** (Cloudflare Worker, launched 2026-07-12).
Crawls the official MCP registry, probes every remote server, grades it
deterministically with verbatim evidence, and publishes the results. Evidence
discipline from Constat/Clarity, personality on top.
## Why this is different (for agents and humans alike)
MCP Queen is the evidence layer for the MCP ecosystem. Every other MCP
directory *lists*; this one *verifies*. Each remote server is
probed live over streamable HTTP and graded on five criteria — and **every
point carries the verbatim observation that earned it**. Unverifiable
dimensions (auth-gated tooling) are marked *provisional*, never guessed.
No stars, no votes, no pay-to-rank — probes only, continuously re-run. Separate
Trust Receipts publish dated security/access, data-integrity, citation,
claim-verification, response-benchmark, and reviewed field evidence without
collapsing it into a misleading trust score.
**Agents:** connect to `https://mcpqueen.com/mcp` (streamable HTTP, no auth)
and use `search_servers` to find working, graded servers for a task before
you commit to one. Machine surfaces: [`/api/grades.json`](https://mcpqueen.com/api/grades.json)
· [`/api/changes.json`](https://mcpqueen.com/api/changes.json) ·
[`/llms.txt`](https://mcpqueen.com/llms.txt). Registry name:
`com.mcpqueen/registry`.
## Connect
mcpqueen is a remote, no-auth, effectively **read-only** MCP server — safe to keep
connected as your discovery broker (only `submit_feedback` writes, and it just
enqueues a quarantined field report). Ask your agent to `search_servers` for a task
*before* it commits to an MCP.
**Claude Code** (native HTTP):
```
claude mcp add --transport http mcpqueen https://mcpqueen.com/mcp
```
**OpenClaw / Claude Desktop / any stdio client** — via the `mcp-remote` bridge; add
to your `mcpServers` config (`~/.openclaw/openclaw.json`, `claude_desktop_config.json`, …):
```json
{
"mcpServers": {
"mcpqueen": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcpqueen.com/mcp"]
}
}
}
```
## Architecture (single Worker)
- `src/worker.ts` — everything: registry crawler, prober/grader, HTML pages,
JSON API, and mcpqueen's **own MCP endpoint**.
- `public/` — static landing (crown data-rain + Vex the fox) served via the
assets binding; the Worker handles all non-asset routes.
- D1 database `mcpqueen` (`schema.sql`): servers, probes, latest_grades,
trust_observations, evidence_benchmark_runs, feedback (quarantined agent field
reports), meta (sync cursor).
- Cron `*/15 * * * *`: sync 4 registry pages + probe the 30 stalest remotes
(~2,900 probes/day; full re-probe cycle ≈ 2.7 days over ~7.7K remotes).
- Cron `17 7 * * *`: run one safe, read-only response audit against an eligible
evidence/citation tool and publish dated results to its Trust Receipt.
## Routes
| Route | What |
|---|---|
| `/` | landing (static) |
| `/registry` | leaderboard + methodology |
| `/s/<registry-name>` | per-server grade with evidence + probe history |
| `/api/grades.json` | grades as JSON (CORS open) |
| `/mcp` | MCP server: capability discovery plus `get_trust_receipt` and `search_trust_evidence` |
| `/field-reports` | Human-reviewed reports from agents that actually exercised a server |
| `/api/trust/{name}.json` | Per-server operational, security, data-integrity, citation and claim evidence |
| `/mcp-info` | for-agents page |
| `/admin/*` | operator endpoints (key-gated) |
## Grading rubric (deterministic, every point carries its observation)
reachability 25 · protocol 15 · tooling 35 (tools/list, described %, typed %,
description depth) · latency 10 · provenance 15 (metadata + namespace↔domain
match). Auth-gated servers are scored on the verifiable subset and marked
**provisional**. Agent feedback via `submit_feedback` is quarantined for human
review — never auto-published, never affects grades directly.
Trust Receipts remain distinct from that grade. Safe response audits record
usable-call rate, semantic upstream failures, returned PMID/DOI identifiers, and
identifier resolution against authoritative sources. Missing evidence is labeled
unaudited rather than treated as a pass.
## Deploy
```
npm run deploy # wrangler deploy (any Cloudflare API token with Workers + D1 write)
npm run db:schema # apply schema.sql to remote D1
```
Custom domains mcpqueen.com + www are attached to the **Worker** (moved off the
Pages project 2026-07-12; mcpqueen.pages.dev still exists as a static preview of
`public/` only — it has no /registry).
What people ask about mcpqueen
What is mcpqueen/mcpqueen?
+
mcpqueen/mcpqueen is mcp servers for the Claude AI ecosystem. 👑 The evidence layer for MCP — every registry server probed live, graded with verbatim evidence, plus Trust Receipts. Itself an MCP server at mcpqueen.com/mcp (7 tools, no auth). It has 0 GitHub stars and was last updated today.
How do I install mcpqueen?
+
You can install mcpqueen by cloning the repository (https://github.com/mcpqueen/mcpqueen) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is mcpqueen/mcpqueen safe to use?
+
mcpqueen/mcpqueen has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains mcpqueen/mcpqueen?
+
mcpqueen/mcpqueen is maintained by mcpqueen. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to mcpqueen?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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