DataFood: 16 data sources (crypto/DeFi/security/news/finance) via one MCP. Bundles save ~92%.
DataFood: 16 data sources (crypto/DeFi/security/news/finance) via one MCP. Bundles save ~92%. That is what the datafood mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
All 16 types share one schema, one auth, one billing surface.
The server publishes 4 tools. What each one is for:
datafood_query — Fetch one data type. Free 1-row previewdatafood_bundle — 1–20 queries across any types in a single calldatafood_portfolio_ask — NL Q&A on a Plaid-linked portfolio with citationsdatafood_watch_session — Open a public /watch/{id} URL streaming agent eventsSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Datafood's toolset — datafood_query, datafood_bundle, datafood_portfolio_ask and 1 more — is a fair guide to whether it matches your workflow. It is maintained by atmflow55; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Datafood's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| datafood_query | Fetch one data type. Free 1-row preview. |
| datafood_bundle | 1–20 queries across any types in a single call. |
| datafood_portfolio_ask | NL Q&A on a Plaid-linked portfolio with citations. |
| datafood_watch_session | Open a public /watch/{id} URL streaming agent events. |
{
"mcpServers": {
"datafood": {
"transport": "http",
"url": "https://toughlovesec.win/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Microsoft's official browser automation server — drive a real browser through the accessibility tree, no screenshots needed.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.