"GIS data acquisition for disaster detection and risk prediction" matching MCP servers:

Exposes account risk status from a fraud detection pipeline, returning risk scores, flagged transaction history, and LLM-generated explanations via the get_account_risk_status tool.

Provides search, trending, odds, arbitrage, and category browsing for prediction markets (Polymarket & Kalshi) via the Model Context Protocol, enabling AI agents to access live market data without API keys.

A simple MCP server that grabs prediction market data from polymarket, PredictIt, & Kalshi.

Unified access to prediction market data from Kalshi and Polymarket, enabling natural language queries for real-time odds, orderbooks, and trade history.

Provides AI agents with real-time prediction market odds from Polymarket and Kalshi, enabling them to browse active markets, retrieve detailed probabilities and trading data, and discover trending markets via x402 micropayments.

MCP server exposing Interactive Brokers' portfolio risk analysis, including model greeks, implied volatility surface, what-if margin, and a local stress engine for P&L curve analysis.

Wraps a hosted prediction market API to expose estimation, sizing, scanning, ensemble, and service-information tools for experimental research, returning payment-required details on HTTP 402 responses without handling payment itself.

Analyzes Korean DART (Financial Supervisory Service) public disclosures to detect unfair trading risk signals, enabling users to query and evaluate corporate risk through natural language.

Stablecoin risk intelligence MCP — 13 tools covering CCI concentration risk, reserve drift, depeg probability, and risk scoring for RLUSD, USDT, USDC, EURC. Real-time monitoring with SAFE/CAUTION/AVOID verdicts. MiCA Art.25/35 relevant.

Real-time prediction market intelligence for AI agents. Query Polymarket and Kalshi markets, wallet profiles, smart money leaderboards, social pulse signals, price candlesticks, and orderbook data — 13 agents, one MCP connection. Powered by 1.1TB+ of historical data.

Enables users to query financial data and compute credit-risk metrics like Altman Z-Score and loan default probability through natural language.

AI-powered fraud detection and investigation platform that exposes tools for querying, scoring, and investigating financial applications using LangGraph, MLflow, and SQLite in-memory.

Enables AI agents to assess credit default risk, run what-if scenarios, and evaluate portfolios through natural language, backed by an explainable XGBoost model.

A natural-language interface to a credit risk database, with SQL guardrails that enforce read-only, allowlisted access to tables and columns.

MCP server providing tools to browse prediction-market venue friction data (fees, KYC, withdrawals), fetch venue details, get natural-language venue recommendations, and learn about the paid changes feed.

Enables Claude clients to score borrower default risk, explain predictions with SHAP, compare applicants, and inspect model metadata through natural conversation. Serves a trained XGBoost model locally over stdio or remotely over HTTP with API-key authentication, keeping confidence transparent by reporting which inputs fell back to training-set defaults.

Provides an LLM agent with extreme value statistics tools for tail risk analysis, including peaks-over-threshold GPD fitting, VaR and Expected Shortfall estimation, return levels, threshold-stability diagnostics, and out-of-sample VaR backtesting.

Enables mortgage risk assessment and underwriting by calculating DTI, LTV, credit risk, income stability, and asset sufficiency, and by aggregating these factors into a loan recommendation with conditions and compensating factors.

Provides AI agents with quantitative risk tools such as VaR, expected shortfall, GARCH volatility, backtesting, stress testing, tail risk analysis, and credit scoring using synthetic or user-supplied data.

Detects financial fraud and AI agent transaction risks using machine learning, behavioral biometrics, network graph analysis, and agent-to-agent protection.