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DMAP-AI MCP Server provides AI-accessible drought monitoring and SPI drought analysis tools using NASA POWER and ERA5-Land/CDS data. It supports SPI tables, drought severity event detection, wavelet scalogram analysis, global wavelet periodicity diagnostics, and structured JSON output for climate, hydrology, agriculture, and drought research workflows.

An MCP (Model Context Protocol) server that inspects your local development environment and reports missing dependencies, version mismatches, and misconfigured environment variables to any MCP-compatible AI assistant. Works with Claude Desktop, Cursor, Gemini CLI, and any other client that supports stdio-transport MCP servers.

Manage logistics operations by comparing shipping prices and creating shipments across multiple agencies. Track package status in real-time, download labels, and handle cancellations through a unified interface. Streamline fulfillment workflows by accessing saved addresses and monitoring bulk delivery tracking updates.

LeafEngines is an agricultural intelligence MCP server that provides comprehensive tools for soil analysis, crop recommendations, weather forecasts, and environmental impact assessment. It integrates USDA data with local sources for international coverage. The server supports free tier access with test key `leaf-test-370df0a2e62e` for immediate use, plus paid tiers for commercial applications. Version 2.0.2 includes telemetry integration for anonymous usage tracking.

OpenVan MCP Server exposes OpenVan.camp public APIs over the Model Context Protocol: fuel prices across 125+ countries, VanSky weather suitability scores (0–100), VanBasket food price index, currency exchange rates, vanlife events (expos, festivals, meetups) and aggregated news stories in 7 languages. 11 read-only tools, no authentication, 120 req/min rate limit, CC BY 4.0 license. Remote Streamable HTTP at mcp.openvan.camp/mcp; local via npx -y @openvan/mcp-server.

Secrets vault for Claude Code. Encrypt API keys, tokens and passwords with AES-256. Full audit logs, MCP access rules, and zero-knowledge mode. Secrets never appear in chat.

Loop your agents into environment management, and give them access/context to run tests, tail environment logs, start/stop environments, and debug remote issues.

Description KnowAir Weather MCP is a comprehensive weather and air quality Model Context Protocol (MCP) server. It provides real-time meteorological data and detailed air quality monitoring (PM2.5, PM10, O₃, SO₂, NO₂, CO, AQI – CN & US standards), along with short- and long-term forecasts and astronomical information. Built with Python 3.12+ and FastMCP, it integrates with the Caiyun Weather API to deliver high-precision environmental intelligence. Features • 🌤️ Meteorology: real-time temperature, humidity, wind, precipitation • 🏙️ Air Quality: pollutant concentrations + AQI (CN & US) • 📅 Forecasts: 72-hour hourly and 7-day daily predictions • 🌧️ Minute-level precipitation: hyper-local rain/snow timing (China cities) • 🌅 Astronomy: sunrise, sunset, moon phases • ⚠️ Alerts: real-time weather and air quality warnings Example Usage Ask Claude (with this MCP enabled): “What’s the current weather and air quality in Beijing?” “Get comprehensive environmental data for 116.4575, 39.9113”

Elasticsearch Integration with MCP - Multi-team and multi-environment support

Multi-platform environment detection MCP server for VS Code Copilot integration

Complete development environment setup for Claude Code with MCP servers, dev containers, and long-running job capabilities

MCP Server of Agribalyse API

A comprehensive NixOS Flake development environment for the Playwright MCP (Model Context Protocol) server with full Chrome and Firefox support, including persistent browser profiles.

WIP - MCP server for querying Google Map's environmental API to retrieve air quality data for a geolocation

A lightweight way to use environment variables in your Cursor MCP server definitions.

A lightweight way to use environment variables in your Cursor MCP server definitions.

Kubernetes MCP server for managing DynamicEnv custom resources with real-time updates and AI-driven integration.

an MCP server to expose a data format for translating tasks into environmental actions

MCP Server using OpenRouter models to get descriptions for images

Build, evaluate and run General Multi-Agent Assistance with ease

A universal Playwright MCP server for browser automation in containerized environments

An MCP server to create secure code sandbox environment for executing code within Docker containers. This MCP server provides AI applications with a safe and isolated environment for running code while maintaining security through containerization.

A lightweight utility that securely loads API keys for Cursor MCP servers from your home directory, preventing accidental exposure of secrets in repositories. Keep your credentials safe while maintaining seamless integration with AI coding assistants.

Stable virtual env management. No hallucinations.

Enhanced development environment with MCP servers, UV package manager, and Open Interpreter