Datafood Mcp
Wire one MCP endpoint into Claude Code or Cursor so agents can pull crypto, DeFi, security, news, and finance feeds without juggling sixteen separate APIs.
Overview
DataFood MCP is a MCP server for the Build phase that exposes 16 crypto, DeFi, security, news, and finance data sources through one agent integration with bundled cost savings.
What is this MCP server?
- 16 bundled data sources across crypto, DeFi, security, news, and finance in one MCP server
- Remote streamable-http endpoint at toughlovesec.win/mcp (v6.0.2)
- Bundle pricing positioned to save ~92% versus paying per source separately
- Suited for research agents and trading or risk workflows that need heterogeneous feeds
- GitHub repo atmflow55/datafood-mcp with agent-mesh site documentation
- 16 data sources in one MCP
- ~92% savings cited for bundles versus separate sources
- Server version 6.0.2
What problem does it solve?
Solo builders waste hours registering scattered finance and security APIs when their agent only needs consistent external data during build and research.
Who is it for?
Indie builders creating trading bots, DeFi dashboards, security-aware agents, or news summarizers who want one MCP registration for many feeds.
Skip if: Teams that need a self-hosted warehouse, strict data residency, or a single regulated banking API with no crypto or DeFi exposure.
What do I get? / Deliverables
After you add the remote MCP URL, your agent can query diverse market and security feeds from one integration instead of maintaining sixteen separate connections.
- Agent-callable access to 16 categorized external data sources via one MCP server
- Reduced API sprawl for research and integration workflows
- Streamable-http MCP configuration snippet for your client
Recommended MCP Servers
Journey fit
External market and security data lands in the product through agent integrations during the build phase, not as a launch or ops dashboard. Canonical shelf is integrations because the server’s value is consolidating remote data sources behind a single MCP transport for coding agents.
How it compares
Unified multi-source data MCP, not a general-purpose LLM skill or a single-vendor finance plugin.
Common Questions / FAQ
Who is DataFood MCP for?
It is for solo and indie developers building agent workflows that need crypto, DeFi, security, news, or finance data without managing many API subscriptions.
When should I use DataFood MCP?
Use it during build or early research when your coding agent must pull live external datasets while you prototype integrations or validate market assumptions.
How do I add DataFood MCP to my agent?
Register the remote streamable-http MCP URL https://toughlovesec.win/mcp in Claude Code, Cursor, or another MCP client per that client’s server config format.