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Datafood MCP

by atmflow55version 6.0.2i★ –iRuns in the cloud
Registry nameio.github.atmflow55/datafood-mcp

Install

Overview

Description from the maker (original English)

DataFood: 16 data sources (crypto/DeFi/security/news/finance) via one MCP. Bundles save ~92%.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Crypto & blockchain

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://toughlovesec.win/mcp

Run this in your terminal

claude mcp add --transport http datafood https://toughlovesec.win/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "datafood": {
      "url": "https://toughlovesec.win/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "datafood": {
      "type": "http",
      "url": "https://toughlovesec.win/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://toughlovesec.win/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account atmflow55, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Crypto & blockchaini

  • More stars than 0% of the other 1611 servers in this category
  • Published to the registry more recently than 14% of the other 1611 servers in this category
  • Basic checks equal to or better than 100% of the other 1611 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Datafood MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (6.0.2) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Polyrank, Agent Data Tools: Prices and DeFi, Agent Data Tools: Chain data

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Polyrank

by polyrank

Polymarket trader analytics for AI agents: rank wallets, read trader metrics, backtest strategies.

Computer or cloudUpdated today
Install

360 tools: balances, blocks, gas, txs and logs on 5 EVM chains, plus Bitcoin. 25 free calls.

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

DataFood — Universal Data Hub for AI Agents (MCP Server)

DataFood is a remote MCP server that gives AI agents one-call access to 16 cross-niche data sources — crypto, DeFi, security, weather, news, finance, web3 — through a single Streamable-HTTP endpoint.

Bundle micropayments save 92% vs. paying per-API to 16 different vendors.


What's in the box (16 data types)

CategoryTypes
Security / Web3token-risk, breach, contract-risk, gas-prices-eth
Crypto / DeFicrypto-price, crypto-trending, defi-yield
Financestock-quote, forex
News / Trendsnews-hn-top, news-reddit, github-trending
Real-worldweather, flights-near, real-estate-rss, sports-scores

All 16 types share one schema, one auth, one billing surface.


Tools (4)

ToolWhat it doesPricing
datafood_queryFetch one data type. Free 1-row preview.preview: $0 / full: $0.001
datafood_bundle1–20 queries across any types in a single call.3–5: $0.0035 / 6–10: $0.005 / 11–20: $0.008
datafood_portfolio_askNL Q&A on a Plaid-linked portfolio with citations.free during beta
datafood_watch_sessionOpen a public /watch/{id} URL streaming agent events.free

Day pass: $0.99 · Week pass: $4.99 (Stripe Checkout or x402 micropayment header).


Quickstart

Claude Desktop / Cursor / any MCP client
{

"mcpServers": { "datafood": { "transport": "http", "url": "https://toughlovesec.win/mcp" } } }

Raw JSON-RPC

`tools/list`:

curl -s -X POST https://toughlovesec.win/mcp \

-H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | jq

`tools/call` (free preview):

curl -s -X POST https://toughlovesec.win/mcp \

-H "Content-Type: application/json" \ -d '{ "jsonrpc":"2.0","id":2,"method":"tools/call", "params":{ "name":"datafood_bundle", "arguments":{ "free": true, "queries":[ {"type":"crypto-price","q":"BTC"}, {"type":"weather","q":"NYC"}, {"type":"news-hn-top"} ] } } }' | jq


Payment paths

DataFood supports two agent-native payment methods:

  1. x402 — pay-per-call via the X-Payment HTTP header (HTTP 402 challenge/response).
  2. Stripe Checkout — pass session_id from a /api/checkout/* flow into datafood_bundle. Day/week passes auto-unlock.

Free 1-row preview (up to 5 bundle items) requires no auth.


Cost comparison (real numbers)

A typical agent fetching 10 data types per task:

MethodCost / callVendors to manage
10 individual APIs (Alchemy, Etherscan, OpenWeather, NewsAPI, …)~$0.0610
DataFood `datafood_bundle` (10 queries)$0.0051

~92% cheaper, one auth surface, one invoice.


Links

  • Website: https://toughlovesec.win
  • Agent Mesh dashboard: https://toughlovesec.win/agent-mesh
  • OpenAPI spec: https://toughlovesec.win/openapi.json
  • MCP descriptor: https://toughlovesec.win/.well-known/mcp.json
  • Status / health: https://toughlovesec.win/healthz

License

MIT — see LICENSE.


*DataFood is built and operated by TOUGH LOVE SECURITY, a security-and-data infrastructure shop. Contact: lemorris@toughlovesec.win.*

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