# io.github.Godzilla-lab/quorum (remote · quorum-api-j15n.onrender.com)

Market evidence with receipts: every claim resolves to a real stored record you can fetch back.

- Trust score: 82/100 (high trust)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-22

## Components

- remote · `quorum-api-j15n.onrender.com`: 82/100 (this document), [markdown](https://verifymcp.io/servers/godzilla-lab-quorum/quorum-api-j15n.md), [page](https://verifymcp.io/servers/godzilla-lab-quorum/quorum-api-j15n)

## Channel facts

- Endpoint: `https://quorum-api-j15n.onrender.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-22.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 74/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 777 tokens (~155/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 93/100
  - Stability observed for 28 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### How do I install the io.github.Godzilla-lab/quorum MCP server?

io.github.Godzilla-lab/quorum is a hosted endpoint at https://quorum-api-j15n.onrender.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http godzilla-lab-quorum 'https://quorum-api-j15n.onrender.com/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "godzilla-lab-quorum": {
      "url": "https://quorum-api-j15n.onrender.com/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "godzilla-lab-quorum": {
      "type": "http",
      "url": "https://quorum-api-j15n.onrender.com/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.godzilla-lab-quorum]
url = "https://quorum-api-j15n.onrender.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "godzilla-lab-quorum": {
      "type": "remote",
      "url": "https://quorum-api-j15n.onrender.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add godzilla-lab-quorum --url 'https://quorum-api-j15n.onrender.com/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  godzilla-lab-quorum:
    url: "https://quorum-api-j15n.onrender.com/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "godzilla-lab-quorum": {
      "Transport": "http",
      "Url": "https://quorum-api-j15n.onrender.com/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add godzilla-lab-quorum -t streamable-http -u 'https://quorum-api-j15n.onrender.com/mcp'
```

### Other

```json
{
  "mcpServers": {
    "godzilla-lab-quorum": {
      "type": "http",
      "url": "https://quorum-api-j15n.onrender.com/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-20 (score 82, +1)

No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-18 (score 81, +1)

No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-16 (score 80, +1)

No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-14 (score 79, +1)

- [security] The server rewrote its instructions, which are the text every model session reads
- [functional regression] Schema quality: 593 → 777
- [functional] New tool “research_product”

### 2026-09-12 (score 78, +1)

No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-10 (score 77, +1)

No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-08 (score 76, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-05 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (5)

### `research_product` (~152 tokens)

Start collecting evidence on a product or topic from public sources. RETURNS AT ONCE: the harvest runs in the background, the first records land within a minute, and a full run takes minutes. Then call `search_evidence` or `category_warmth` for the same subject after about 30 seconds and keep calling while the counts grow; stop when they stop. Every receipt returned along the way is already a real record. Calling this twice for one subject joins the same run rather than starting another.

Input parameters:

- `subject` (string, required): A product name, a topic, or a product URL.
- `terms` (array): What to ask about: single concepts like "sizing", "durability". Optional.

### `search_evidence` (~298 tokens)

Search the retained corpus for what people actually said about a product or topic. Returns how many independent records exist, across how many channels, whether that clears the corroboration threshold, and the loudest few quotes with their receipt ids. Costs nothing and touches no network.

Input parameters:

- `after` (string): Optional. ISO date (2026-01-31): only records their authors wrote on or after it. Undated records sit inside no window.
- `before` (string): Optional. ISO date: only records written on or before it.
- `category` (string): Optional. Narrow to one product category.
- `excludeSources` (array): Optional. Drop these sources, e.g. ["sec-edgar", "cpsc"] to drop the institutional records from a consumer question.
- `minChannels` (number): Optional. Demand at least this many distinct channels for a finding verdict. Can only demote.
- `phrase` (boolean): Optional. Match the words as one ordered phrase, no any word fallback. Build phrases from content words.
- `query` (string, required): What to look for: "sizing", "battery life", "runs small".
- `sourceClasses` (array): Optional. Filter by what kind of speaker: consumer_voice (reddit, reviews...), practitioner (github...), institutional (regulators, filings).
- `sources` (array): Optional. Only these sources (reddit, appstore, sec-edgar...).

### `get_receipt` (~103 tokens)

Resolve receipt ids to the real records behind them. This is how you CHECK a claim: if an id does not resolve, the claim citing it was not real. Takes one id or many. Long records are truncated with notice; pass full: true for complete text.

Input parameters:

- `full` (boolean): Return complete record text with no truncation. Default false.
- `receiptIds` (array, required): Receipt ids, as returned by any other tool. Up to 50.

### `category_warmth` (~82 tokens)

How much is already held for a category, and therefore whether asking about it is instant and free or slow and expensive. Check this BEFORE starting a report. With no category it lists what is held, so orient here instead of guessing slugs.

Input parameters:

- `category` (string): The category, for example "running shoes". Omit to list every held category.

### `compare_formats` (~52 tokens)

Video versus static advertising for a category, computed from how long real ads actually ran rather than from opinion. Returns a verdict, its confidence, and the ads behind it.

Input parameters:

- `category` (string, required): The product category.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/godzilla-lab-quorum/quorum-api-j15n#diagnostics

## Score history

- 2026-09-22: 82
- 2026-09-21: 82
- 2026-09-20: 82
- 2026-09-19: 81
- 2026-09-18: 81
- 2026-09-17: 80
- 2026-09-16: 80
- 2026-09-15: 79
- 2026-09-14: 79
- 2026-09-13: 78
- 2026-09-12: 78
- 2026-09-11: 77
- 2026-09-10: 77
- 2026-09-09: 76
- 2026-09-08: 76
- 2026-09-07: 75
- 2026-09-06: 75
- 2026-09-05: 75
- 2026-09-04: 74
- 2026-09-03: 74
- 2026-09-02: 73
- 2026-09-01: 73
- 2026-08-31: 72
- 2026-08-30: 72
- 2026-08-29: 71
- 2026-08-28: 71
- 2026-08-27: 71
- 2026-08-26: 71
- 2026-08-25: 69

## Common questions

### What is the io.github.Godzilla-lab/quorum MCP server?

io.github.Godzilla-lab/quorum is an MCP server listed in the public MCP registry as io.github.Godzilla-lab/quorum. Market evidence with receipts: every claim resolves to a real stored record you can fetch back. This page covers its hosted endpoint (https://quorum-api-j15n.onrender.com/mcp).

### Is the io.github.Godzilla-lab/quorum MCP server safe to use?

io.github.Godzilla-lab/quorum scores 82 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the io.github.Godzilla-lab/quorum MCP server expose?

io.github.Godzilla-lab/quorum exposes 5 tools: research_product, search_evidence, get_receipt, category_warmth, compare_formats. Their descriptions and schemas cost roughly 687 tokens of context every time the server is loaded.

### Does the io.github.Godzilla-lab/quorum MCP server require authentication?

No. We connected to io.github.Godzilla-lab/quorum without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the io.github.Godzilla-lab/quorum MCP server still maintained?

io.github.Godzilla-lab/quorum is still listed as active in the MCP registry. We last reached this channel on 22 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://quorum-api-j15n.onrender.com/mcp
- Repository: https://github.com/Godzilla-lab/Quorum-API
- Changelog RSS feed: https://verifymcp.io/servers/godzilla-lab-quorum/quorum-api-j15n.xml
- Changelog JSON feed: https://verifymcp.io/servers/godzilla-lab-quorum/quorum-api-j15n.json
- HTML version of this page: https://verifymcp.io/servers/godzilla-lab-quorum/quorum-api-j15n