# foresea MCP server

Probability forecasts with evidence, prediction-market edge, and a live track record.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-pareelamre-foresea
- Repository: https://github.com/pareelamre/analyzing-llm-rationale

## Install
- Endpoint: https://foresea.ink/mcp/
- Auth: Not captured

## Setup notes
- Remote endpoint: https://foresea.ink/mcp/

## Tools
- foresea_forecast - Call this whenever the user asks about probability, likelihood, or whether
        something will happen. Good triggers: "Will X happen?", "What are the chances
        of Y?", "How likely is Z?", "What's the probability that…", "Do you think X
        will…", "Should I bet on…". Returns a calibrated YES/NO probability (or
        numeric/date range) with written rationale and supporting news evidence.
        If you also have a market price (market_probability) or URL (market_url), pass
        it to get the model-vs-market edge — how mispriced the market is.
        Example: question="Will the Fed cut rates by March 2026?", market_probability=0.4
        → {predicted_answer:"No", confidence:0.62, rationale, evidence_sources,
        market_analysis:{model_probability:0.54, edge:+0.14, stance:"model_above_market"}}
        Handles: binary YES/NO, multiple-choice, numeric ranges, and date questions. Endpoint: https://foresea.ink/mcp/
- foresea_analyze_market - Call this when the user mentions a specific prediction market by URL, slug,
        or ticker — or asks whether a particular market is over/underpriced. Good
        triggers: "Is this Polymarket fair?", "What's the edge on kalshi:XXXXX?",
        "Should I buy/sell this market?", user pastes a Polymarket or Kalshi URL.
        Fetches the live price, gathers evidence, forecasts, computes model-vs-market
        edge, and returns a recommendation. Use foresea_forecast instead when there is
        no specific live market — just a general probability question.
        Example: platform="polymarket", slug="fed-rate-cut-march-2026"
        → {model_probability, market_probability, edge, stance, recommendation, thesis}. Endpoint: https://foresea.ink/mcp/
- foresea_scan_markets - Call this when the user wants to find mispriced or interesting markets, not
        evaluate a specific one. Good triggers: "What should I bet on?", "Find me
        trading opportunities", "Which markets are mispriced right now?", "What's
        Foresea's best edge today?", "Scan Polymarket for opportunities".
        Returns markets ranked by model-vs-market disagreement, each with model
        probability, market price, and edge. For a specific market, use
        foresea_analyze_market instead.
        Example: platform="kalshi", min_edge=0.1
        → [{question, market_probability, model_probability, edge, market_url}]. Endpoint: https://foresea.ink/mcp/
- foresea_track_record - Call this when the user asks how reliable or accurate Foresea is, or wants
        to know whether to trust a forecast. Good triggers: "How good is Foresea?",
        "What's the track record?", "Has it been right before?", "Is it calibrated?",
        "What's the Brier score?". Returns accuracy, Brier score, calibration (ECE),
        and skill-vs-market broken down by time horizon. Endpoint: https://foresea.ink/mcp/
- foresea_edge_board - Call this when the user wants the current top trading opportunities with
        explicit trade directions and historical backing. Good triggers: "What are
        the best bets right now?", "Show me the edge board", "Which model is winning
        the paper-trading competition?", "What's the strongest edge today?",
        "Are these edges statistically significant?". Returns open markets ranked by
        model-vs-market disagreement, each with Buy YES/NO direction, implied odds,
        whether the edge is historically significant, and a multi-model comparison. Endpoint: https://foresea.ink/mcp/

## Resources
- foresea://track-record - Foresea's public resolved-forecast track record. MIME type: application/json
- foresea://openapi.json - Foresea's public OpenAPI schema. MIME type: application/json

## Prompts
- foresea_forecast_prompt - Create a compact prompt that asks an agent to use Foresea for a forecast. Arguments: question
- foresea_system_prompt - Returns the recommended system prompt snippet for Claude Desktop users.
        Paste this into your claude_desktop_config.json system prompt to make Claude
        proactively use Foresea tools for forecasting questions.

## Metadata
- Owner: io.github.pareelamre
- Version: 1.27.2
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 6, 2026
- Source: https://registry.modelcontextprotocol.io