predictfun-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GRAPH_API_KEY | Yes | Your API key from The Graph Subgraph Studio |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_platform_statsA | Get Predict.fun platform-wide stats: total volume, trades, open interest, yield, and active markets |
| get_top_marketsA | Get the top prediction markets ranked by volume, open interest, or trade count |
| get_market_detailsB | Get full details for a specific market/condition: volume, OI, resolution status, recent trades, top holders |
| get_market_orderbookA | Get the live order book for a Predict.fun market — current bids and asks with prices and sizes. Requires PREDICT_API_KEY. Provide market_id (integer from Predict.fun API) or condition_id. Use this to see the current state of the market, not historical trades. |
| get_trader_profileB | Get a trader's full profile: trading history, positions, P&L, and reward claims |
| get_recent_activityC | Get recent activity on Predict.fun: latest trades, splits, merges, redemptions, or yield events |
| get_yield_overviewA | Get Venus Protocol yield stats: deposits, redemptions, net balance, yield claims, and token mappings |
| get_whale_positionsB | Find the largest position holders across all Predict.fun markets |
| get_leaderboardA | Get the top traders on Predict.fun by volume, P&L, or trade count |
| get_resolved_marketsB | Get recently resolved markets with their outcomes and payout info |
| query_subgraphA | Run a custom GraphQL query against any Predict.fun subgraph. Use this for advanced queries not covered by other tools. |
| find_trader_personaA | Classify a trader into behavioral archetypes: whale_accumulator, yield_farmer, arbitrageur, early_mover, or resolution_sniper. Returns structured JSON with matched personas and supporting metrics. |
| scan_trader_personasB | Find traders matching a specific behavioral archetype across the platform. Returns structured JSON with matching traders and evidence. |
| tag_market_structureB | Classify a market by structural features: resolution latency, liquidity profile, oracle type, and tail-risk indicators. Returns structured JSON. |
| scan_markets_by_structureB | Find markets matching structural criteria: resolution speed, liquidity depth, oracle type, or tail-risk flags. Returns structured JSON. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| platform_overview | Get a full overview of the Predict.fun platform |
| analyze_trader | Analyze a specific trader's activity and P&L |
| market_deep_dive | Deep dive into a specific prediction market |
| yield_analysis | Analyze Predict.fun's Venus Protocol yield mechanics |
| whale_alert | Find the biggest players and their market positions |
| market_scanner | Scan for interesting markets — highest volume, most OI, recently resolved |
| custom_query_examples | Show example GraphQL queries for each Predict.fun subgraph |
| trader_persona_analysis | Classify traders by behavioral archetypes and find similar traders |
| market_quality_scan | Scan markets by structural quality indicators to find opportunities or risks |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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