name: predictfun-mcp description: Access Predict.fun prediction market data on BNB Chain — platform stats, market analysis, trader profiling, yield mechanics, and behavioral meta-tools via The Graph. metadata: {"openclaw": {"requires": {"bins": ["node"], "env": ["GRAPH_API_KEY"]}, "primaryEnv": "GRAPH_API_KEY", "homepage": "https://github.com/PaulieB14/predictfun-subgraphs"}}

Predict.fun MCP

Structured access to Predict.fun prediction market data on BNB Chain — platform stats, market analysis, trader profiling, yield mechanics, and behavioral meta-tools.

Tools

• get_platform_stats — Full platform overview: volume, OI, yield, sync status
• get_top_markets — Rank markets by volume, open interest, or trade count
• get_market_details — Deep dive: OI, resolution, top holders, orderbook stats
• get_trader_profile — Full P&L: trades, positions, payouts, yield rewards
• get_recent_activity — Latest trades, splits, merges, redemptions, or yield claims
• get_yield_overview — Venus Protocol deposits, redemptions, yield stats
• get_whale_positions — Largest holders with % of market OI
• get_leaderboard — Top traders by volume, payouts, or trade count
• get_resolved_markets — Recently settled markets with outcomes
• query_subgraph — Custom GraphQL against any of the three subgraphs
• find_trader_persona — Classify a trader: whale, yield farmer, arbitrageur, early mover, sniper
• scan_trader_personas — Find traders matching a behavioral archetype
• tag_market_structure — Tag a market by resolution latency, liquidity, oracle type, tail risk
• scan_markets_by_structure — Find markets by structural filter

Requirements

• Runtime: Node.js >= 18 (runs via npx)
• Environment variables:
  • GRAPH_API_KEY (required) — Free API key from The Graph Studio. Used to query three Predict.fun subgraphs via The Graph Gateway. Queries are billed to your key (free tier: 100K queries/month).

Install

GRAPH_API_KEY=your-key npx predictfun-mcp

Network & Data Behavior

• All tool calls make GraphQL requests to The Graph Gateway (gateway.thegraph.com) using your API key.
• Three subgraphs are queried: predictfun-orderbook, predictfun-positions, and predictfun-yield (subgraph IDs are built into the server).
• No local database or persistent storage is used.
• The SSE transport (--http / --http-only) starts a local HTTP server on port 3850 (configurable via MCP_HTTP_PORT env var).

Use Cases

• Get real-time platform stats and market rankings on Predict.fun
• Profile traders by P&L, volume, and behavioral archetypes
• Analyze market quality: liquidity depth, OI concentration, resolution speed
• Track yield mechanics via Venus Protocol integration
• Run custom GraphQL queries against orderbook, positions, and yield subgraphs