Davincibets Mcp
Pull Da Vinci Bets AI picks, cards, schedules, and track records into a sports app or research agent via MCP.
Overview
Da Vinci Bets MCP Server is a MCP server for the Build phase that serves AI sports predictions and related data for NBA, NFL, NHL, and MLB through MCP tools.
What is this MCP server?
- AI sports predictions for NBA, NFL, NHL, and MLB
- Tools for picks, cards, published track record, and schedules
- npm package @davincibets/mcp-server at version 1.3.2
- stdio transport with DVB_API_KEY (dvb_live_ prefix)
- GitHub source at DaVinciPicks/davincibets-mcp
- Leagues covered: NBA, NFL, NHL, MLB
- Server version 1.3.2
- npm identifier @davincibets/mcp-server
What problem does it solve?
Sports products that need Da Vinci Bets picks force you to maintain custom API glue instead of agent-native access.
Who is it for?
Indie developers shipping sports prediction, fantasy, or research features powered by Da Vinci Bets.
Skip if: General SaaS builders with no sports or betting use case, or users without a Da Vinci Bets API key.
What do I get? / Deliverables
Register the MCP server with your API key so agents can retrieve picks, cards, track record, and schedules in one integration.
- Agent-callable Da Vinci Bets picks and cards for four major leagues
- Schedule and track-record queries through MCP
- Stable npm-based stdio integration for sports data features
Recommended MCP Servers
Journey fit
Sports prediction data is integrated during Build when you connect a product or agent workflow to a third-party picks API. Integrations is the canonical shelf for MCP wrappers around external prediction and schedule APIs.
How it compares
Da Vinci Bets sports-data MCP connector, not a journey-wide product methodology skill.
Common Questions / FAQ
Who is io.github.DaVinciPicks/davincibets-mcp for?
Builders creating sports apps or agent workflows that need Da Vinci Bets AI predictions and supporting pick, card, schedule, and track-record data.
When should I use io.github.DaVinciPicks/davincibets-mcp?
Use it during Build integrations when your feature set depends on NBA, NFL, NHL, or MLB predictions from Da Vinci Bets.
How do I add io.github.DaVinciPicks/davincibets-mcp to my agent?
Install @davincibets/mcp-server, set DVB_API_KEY to your dvb_live_ key, and add the stdio server to your MCP client configuration.