"Flood" matching MCP servers:

Gives MCP clients access to 35 years of bias-corrected daily weather records for five Gilgit-Baltistan stations, with tools for daily values, long-term trends, cross-station comparison and rainfall thresholds. It also produces a live 1-16 day flash-flood screening outlook scored against each valley's own history, while flagging data break caveats that could mislead trend analysis.

MCP server for curated food and dining feeds, providing tools to list, read, and fetch RSS/Atom feeds. Part of the Pipeworx gateway.

Enables AI agents to research ownership, insider and fund buying and selling, filed financials, dividends, short interest, market cap and news across AI and semiconductor stocks, with every SEC and FINRA figure linked to its source. Exposes eighteen read-only tools covering company data, comparisons, screening, holder and fund flows, filings and what changed this week.

Enables deploying an Earth Engine MCP server in Docker, integrating with Claude Desktop to perform geospatial analysis using 11 Earth Engine tools for tasks like wildfire risk, flood risk, and agricultural monitoring.

Provides tools for nutrition data retrieval, meal planning, and dietary analysis using USDA and Edamam APIs, enabling AI-driven dietary insights.

Provides comprehensive Chinese food nutrition data with tools to search, compare, and filter foods by nutrient values.

MCP server connecting AI models to Swiss Federal Food Safety and Veterinary Office open data, enabling queries about food recalls, animal disease surveillance, food control results, and more.

Enables AI agents and LLMs to retrieve precise food chemistry and nutrition data from USDA, Open Food Facts, and IFCT, evaluate recipes, optimize macros, look up barcodes, and detect ultra-processed foods through MCP tools.

Provides 42+ specialized tools for nutrition analysis integrating Canada's Food Guide recipes with Health Canada's official databases (CNF, DRI, EER) for recipe discovery, macro calculations, energy requirements, and dietary adequacy assessments.

Enables AI agents to resolve Japanese food names to nutrition facts per 100g based on official Japanese food composition data.

Enables checking food additive safety, nutrition profiles, pesticide residues, and ingredient lists with regulatory flags and dietary compatibility. All data is sourced from authoritative bodies like JECFA, EFSA, and FDA.