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prediction-market-mcp

index.ts2.93 kB
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; import { z } from "zod"; import { getKalshiMarkets, getPolymarketPredictionData, getPredictItMarkets, } from "./utils/utils.js"; const server = new McpServer({ name: "prediction-markets", version: "1.0.0", capabilities: { resources: {}, tools: {}, }, }); server.tool( "get-prediction-markets", "Get prediction market prices from Polymarket, PredictIt, and Kalshi", { keyword: z .string() .max(50) .describe("Keyword for the market you're looking for (e.g. 'trump')"), }, async ({ keyword }) => { const lowerKeyword = keyword.toLowerCase(); const [polyMarkets, predictItMarkets, kalshiMarkets] = await Promise.all([ getPolymarketPredictionData(50, keyword), getPredictItMarkets(), getKalshiMarkets(), ]); const filteredPredictIt = predictItMarkets.filter( (m) => m.name.toLowerCase().includes(lowerKeyword) || m.shortName.toLowerCase().includes(lowerKeyword), ); const filteredKalshi = kalshiMarkets.filter((e) => e.title.toLowerCase().includes(lowerKeyword), ); if ( polyMarkets.length === 0 && filteredPredictIt.length === 0 && filteredKalshi.length === 0 ) { return { content: [ { type: "text", text: `No prediction markets found for keyword: "${keyword}"`, }, ], }; } const polyText = polyMarkets .map((m) => { const oddsList = Object.entries(m.odds) .map(([outcome, prob]) => `${outcome}: ${(prob * 100).toFixed(1)}%`) .join(" | "); return `**Polymarket: ${m.question}**\n${oddsList}`; }) .join("\n\n"); const predictItText = filteredPredictIt .map((m) => { const contractOdds = m.contracts .map((c) => { const pct = c.lastTradePrice != null ? `${(c.lastTradePrice * 100).toFixed(1)}%` : "n/a"; return `${c.shortName}: ${pct}`; }) .join(" | "); return `**PredictIt: ${m.name}**\n${contractOdds}`; }) .join("\n\n"); const kalshiText = filteredKalshi .map((e) => `**Kalshi: ${e.title}**\n${e.sub_title} (${e.category})`) .join("\n\n"); const text = [polyText, predictItText, kalshiText] .filter(Boolean) .join("\n\n"); return { content: [ { type: "text", text, }, ], }; }, ); async function main() { const transport = new StdioServerTransport(); await server.connect(transport); console.error("Prediction market MCP Server running on stdio"); } main().catch((error) => { console.error("Fatal error in main():", error); process.exit(1); });

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