"Co-op" matching MCP servers:

Provides real-time air quality data (US AQI, PM2.5, PM10, ozone, NO2, SO2, CO) for any city via natural language, using free Open-Meteo data and a single tool.

Enables querying, visualizing, and co-registering ICESat-2 ATL03 and ICESat/GLAS GLAH06 altimetry data as 3D point clouds, with plate-motion correction and Δh statistics.

Provides AI agents with real-time and historical crypto market data from nine exchanges, including order book metrics, volumes, spreads, and market microstructure via the BlackForge API.

Stateless MCP server that wraps OpenAI's Sora, Whisper, GPT-4o Audio, and TTS APIs for generating videos, images, and processing audio.

Enables querying self-hosted OpenTripPlanner for accurate transit routes via MCP, supporting both stdio and HTTP.

An MCP server that provides live status updates for the Eco via Sirens game server, displaying meteor countdowns, player statistics, and world information directly within Claude Desktop. It also serves as a minimal reference implementation for building MCP Apps in Python without complex tooling.

Enables querying a brand's visibility in AI assistant answers, including competitor presence, tracked prompts, and the answers and sources behind the metrics.

Connects AI assistants to web page content and Google search results, enabling them to retrieve HTML, Markdown, or screenshots from a URL, run Google queries, and check account plan and token usage. It supports hosted OAuth sign-in as well as local and self-hosted deployments with an API key.

Enables voice-first shared household expense tracking through Alexa+, letting flatmates record purchases, check balances, and settle debts in the fewest payments.

A server implementing Model Context Protocol that enables LLMs to interact with the ZenML platform, providing access to pipeline data, stack information, and the ability to trigger new pipeline runs.

Official MCP server for Shipmail, enabling agents to manage domains, mailboxes, messages, threads, webhooks, and suppressions via natural language.

Renders Azure Content Understanding field schema as interactive table cards in VS Code Chat, enabling editing and persistence of field descriptions.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.