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Building an MCP-Enabled Sports Data API: Making Sports Intelligence Agent-Discoverable
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Building an MCP-Enabled Sports Data API: Making Sports Intelligence Agent-Discoverable

DEV Community·roykeano941-eng·about 1 month ago
#c6h7I99T
#mcp#ai#api#agents#sponsorship#match
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The Problem AI agents are getting good at business intelligence tasks. But they still can't access most domain-specific data — it's locked in PDFs, behind paywalls, or formatted for humans. I built a sports sponsorship intelligence API that's natively accessible to AI agents via Model Context Protocol (MCP). What It Does Query: GET /api/match-score?club=everton&brand=Revolut Response: Structured JSON with: Match score (1-100) Reasoning Comparable deals Risk factors Suggested deal terms Why MCP? MCP lets AI agents discover and use your API without custom integration. Any MCP-compatible agent finds the endpoint at: https://sportsignal.agency/.well-known/mcp.json The Business Case £83.9M in Premier League sponsorship revenue is changing hands due to the UK gambling ad ban. 11 clubs need new sponsors. I built the scoring layer for this market.…

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