Data Collection
toughlovesec.win
Fetches and bundles data from DataFood, enables natural-language Q&A on Plaid-linked portfolios, and opens live-observation sessions.
ENDPOINT 1
https://toughlovesec.win/mcp
MCP server metadata
- Name
- datafood
- Version
- 6.0.0
DataFood aggregates 16 cross-niche data sources for AI agents. Use datafood_query for single fetches, datafood_bundle for 3+ at a 50-92% discount. Free preview tier requires no auth.
Known tools 4
datafood_portfolio_askNatural-language Q&A on a Plaid-linked portfolio (read-only).
Inferred read-onlydatafood_watch_sessionOpen a watchable agent session — returns session_id and a public /watch/{id} URL for live observation.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.datafood]
url = "https://toughlovesec.win/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"datafood": {
"type": "http",
"url": "https://toughlovesec.win/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: datafood
Remote MCP URL: https://toughlovesec.win/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"datafood": {
"url": "https://toughlovesec.win/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"datafood": {
"type": "http",
"url": "https://toughlovesec.win/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "datafood",
"transport": "streamable-http",
"url": "https://toughlovesec.win/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.