
quorum
Market evidence with receipts: every claim resolves to a real stored record you can fetch back.
What it can do
What data it sees
Do you need an account
No: the server works without sign-in
Market evidence with receipts: every claim resolves to a real stored record you can fetch back.
How to connect
How to connect quorum to Claude
The server address to paste into Claude settings:
https://quorum-api-j15n.onrender.com/mcp
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect quorum to ChatGPT
The server address to paste into ChatGPT settings:
https://quorum-api-j15n.onrender.com/mcp
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect quorum to Cursor
The server address to paste into Cursor settings:
https://quorum-api-j15n.onrender.com/mcp
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (5)
Raw names from tools/list. Only developers need these.
| research_product | 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. |
| search_evidence | 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. |
| get_receipt | 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. |
| category_warmth | 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. |
| compare_formats | 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. |