DataSnack MCP Server

by datasnack Your server? Claim it

answering

DataSnack is answering right now. Last checked 5 min ago. It exposes 9 tools.

Seven-day forecasts of real-world numbers, linked and graded daily; sign-in adds Excel exports.

Uptime history 29 hours of history

29 hours agonow

100.0%

Uptime 24h

182 of 182 checks

Tools

read from the server

592 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 7

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 11 November 2026. No other catalogue keeps this.

11 Nov a tool changed version6 times that day

11 Nov a tool appeared head_to_head

and 5 more, back to 11 November 2026

Nothing serious here today

Today is the operative word: we check DataSnack every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add datasnack --transport http https://datasnack.ai/mcp

Settings → Connectors → Add custom connector, then paste this address

https://datasnack.ai/mcp

~/.codex/config.toml

[mcp_servers.datasnack]
url = "https://datasnack.ai/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "datasnack": {
      "url": "https://datasnack.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "datasnack": {
      "type": "http",
      "url": "https://datasnack.ai/mcp"
    }
  }
}

This server publishes 1 more address. The block above uses the one we reach during checks; the full list is under Endpoints below, and the author may intend a particular one for your client.

Available tools 9

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

world

world

DataSnack's World Machine: models of real-world numbers (fuel and food prices, freight, yields and mortgage rates, shipping, currencies, AI model ratings, company value), each predicting its number in seven days, with each model's record against standing still, the models it reads and that read it, and the scorecard.

world_scenario

Set one World Machine model's number in seven days and read the models that move through the links. These are the models' numbers under that assumption, not predictions that it will happen.

calibration

calibration

How often prediction markets came true at each price, by days before they closed, from the markets DataSnack follows that have resolved.

head

head_to_head

DataSnack's numbers beside big forecasters' published numbers for the same months, each made the day before theirs from public data, prediction markets and the news, and graded the same way. The equation and the record download as a spreadsheet.

model

get_model

Read one DataSnack model: the question, the market's number now, the model's forecast for seven days from now, how the model works, its sources and its graded record including misses.

models

search_models

Search DataSnack's public forecasting models of prediction-market questions. Each result gives the question, the market's number now (and which market it comes from), DataSnack's forecast for seven days from now, and the model's page.

overnight

overnight

What DataSnack's agents did last night: rounds run, model changes kept and rejected, the biggest miss, where DataSnack and the market differ most, and the scoreboard.

reference

get_reference_workbook

A free DataSnack Excel workbook with working formulas: the tariffs → mortgage rates lab, a chain of five models fitted on public FRED data (import prices, producer prices, consumer prices, the 10-year yield and the 30-year mortgage rate). No account needed.

scoreboard

scoreboard

How DataSnack's models and agents did over the last 30 days: how far off the seven-day forecasts landed, how often they beat standing still, and how often the direction was right.

Endpoints

URL	Transport	State	Latency	Checked
https://datasnack.ai/mcp	streamable-http	answering	574 ms	5 min ago
https://datasnack.ai/mcp/public	streamable-http	answering	552 ms	5 min ago

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DataSnack — questions

Answers built from our own checks of this server.

What can DataSnack do?

It exposes 9 tools, read directly from the server on our last check. Among them: calibration, get_model, get_reference_workbook, head_to_head, overnight, scoreboard and 3 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is DataSnack working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 182 of 182 checks got a reply (100.0%), average response time 592 ms. The bar chart above shows every period we have measured.

How do I connect DataSnack?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does DataSnack need an API key?

No. DataSnack completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 9 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is DataSnack?

It answers our handshake in 592 ms on average, which is faster than 19% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.