"Wikimedia Foundation" matching MCP servers:

Enables users to perform deterministic time series forecasting through Claude by running reproducible Python statistical and foundation models, providing tools for loading data, cross-validation, forecasting, anomaly detection, and exporting re-runnable manifests without any LLM involvement.

Enables an AI agent to turn a messy CRM account list into a ranked list of accounts to work, with every step authorized, scoped, rate limited, and replayable from an audit log.

An MCP server built with Smithery that provides a foundation for real estate data harvesting capabilities. Currently includes example functionality for testing and development purposes.