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

Local STDIO MCP server for object-detection annotation workflows. Manages datasets, categories, images, bounding boxes, and exports in JSONL format without modifying source images.

Bias Detection - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables multi-tier AI-detection screening on academic papers by extracting text from .tex and .docx files, splitting into standard sections, and running a pipeline of statistical and LLM-based analysis.

Analyzes financial contract PDFs to extract clauses, flag risk terms, and compare contract versions, producing structured risk briefs for legal and risk teams.

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

MCP server for fraud detection using machine learning, behavioral biometrics, and network graph analysis, with agent-to-agent transaction protection and AI agent fingerprinting.

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

Enables plant disease detection through an MCP server powered by AI models, supporting deployment on Railway or local Claude Desktop.

AI-powered pipeline that analyzes user stories and PRDs for gaps, ambiguities, and missing acceptance criteria before coding, with MCP tools for requirement analysis and risk reporting.

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 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.

Enables distribution-free split conformal prediction through MCP, producing adaptive prediction sets with finite-sample marginal coverage guarantees for agent routing, classification, and structured decision tasks.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Risk Assessment AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

MCP server that exposes the credit scoring model's deterministic tools (probability of default, SHAP explanations, typicality check, financial ratios) to AI agents, enabling natural language credit risk assessment.

Enables portfolio risk assessment, sentiment analysis, and investment recommendations via MCP tools.

Provides 102 tools for end-to-end data science pipelines, enabling data loading, cleaning, visualization, modeling, and reporting via natural language.

An MCP server that integrates SEC EDGAR, FRED, and Polygon.io financial data with OAuth 2.1 security and a citation-grounded 10-K extractor powered by Claude Sonnet 4.5.

A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).