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

Machine-readable detection lookups for SIEM enrichment and AI agents. Query 800+ LOLBAS and GTFOBins binaries plus process parent-child baselines — get risk levels, abuse categories, and MITRE ATT\&CK mappings without embedding data in prompts.

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.

Enables agents to search US federal agency procurement forecasts — what agencies intend to buy months or years before a solicitation exists — filtering by keyword, agency, NAICS, set-aside, fiscal year, and value band, and to pull full detail records with narrative, period of performance, and contacts. Coverage is reported honestly per agency, so results distinguish "nothing planned" from "never checked".

MCP server for querying the Kaggle 'All Natural Disasters 1900-2021 / EOSDIS' CSV dataset via pandas, exposing search and statistics tools.

Lets an AI agent query Yerevan's live municipal GIS data—air quality, cadastral parcels, zoning, construction, and transport—with no API key.

An MCP server that gives LLMs access to geographic data conversion tools, enabling transformations between different formats like WKT, GeoJSON, CSV, TopoJSON, and KML, as well as performing reverse geocoding.

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

A Model Context Protocol server that connects LLMs to GIS operations, enabling AI assistants to perform accurate geospatial analysis including geometric operations, coordinate transformations, and spatial measurements.

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.

Enables querying public ArcGIS REST services for county/state parcel data, GIS layer identification, and USGS elevation without API keys.

Enables security teams to determine which ATT&CK techniques lose detection coverage when telemetry sources are removed, by computing set differences over a Sanity content graph and consulting a knowledge base via two Context MCP endpoints.

Enables users to draw GIS geometry on an interactive map and get clean, validated GeoJSON to hand off to other GIS MCP servers such as FEMA flood screening and USGS hydrography.

MCP server that provides AI assistants access to Oklahoma Corporation Commission public GIS datasets, enabling dataset search, layer metadata retrieval, and attribute/spatial queries on ArcGIS Hub data.

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

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.

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.

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

Serves SANDAG/SanGIS regional GIS data from SANDAG's ArcGIS Enterprise portal, enabling natural-language queries for parcels, floodplains, address points, transit, land use, and hundreds of other layers.

Enables AI agents to assess the risk of shell commands before execution, providing a probability of harm and a suggested action (auto, warn, or confirm).

Performs comprehensive crawler compliance risk assessment for webpages, evaluating legal, ethical, and technical risks including robots.txt rules, anti-crawling mechanisms, sensitive data detection, and providing crawl permissibility ratings.