"Recent three-day weather forecast for Beijing" matching MCP servers:

Enables demand forecasting and replenishment recommendations using statistical models (Syntetos-Boylan classification, AutoETS, TSB) and provides tools for forecasting, evaluation, and order quantity calculation.

Enables users to check institutional forecasts against actual outcomes, compare economic releases and earnings estimates to results, inspect prediction-market prices and leaderboards, and retrieve archived pages and news to see what was said at the time.

Enable any AI agent to forecast time-series data (e.g., sales, traffic) using Google's TimesFM or a zero-dependency statistical baseline.

A weather intelligence MCP server providing current conditions, forecasts, historical data, agricultural alerts, and severe warnings.

MCP server enabling AI agents to access provincial malaria surveillance and outbreak forecasts for Angola, with guardrails to ensure safe and validated outputs.

An MCP server that provides live astronomical ephemeris data (moon phases, zodiac transits, Mercury retrogrades, sabbats, and more) via the Moon Ritual Library API, enabling Claude and other agents to answer cosmic-weather questions with accurate, server-computed calculations.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

Enables AI agents to manage citations in Microsoft Word via EndNote, including DOI-verified paper search, RIS import/export, and genuine CWYW IEEE citations.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

Provides AI assistants with access to real-time space weather data and forecasts from NOAA's Space Weather Prediction Center, enabling queries and interpretations of geomagnetic storms, solar flares, and related indices.

Enables wing simulation and aerodynamic analysis for pterosaur-inspired flight models. Provides lift, drag, and thrust calculations through the pterasim module with analytical fallbacks when the native module is unavailable.

Enables aerodynamic analysis through XFOIL polar computations. Provides typed models and tools to run airfoil performance analyses from agents or automation workflows.

Enables running avian flight dynamics simulations through the Flappy simulator. Provides typed configuration models and deterministic fallback calculations for bird flight analysis.

Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables comprehensive academic research by searching and analyzing papers from PubMed, Google Scholar, ArXiv, and JSTOR. Provides full-text access, citation management, and research organization through five powerful consolidated tools.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

Enables AI agents to query Google Trends for search-interest signals, returning stable JSON envelopes with calibrated searches/day estimates, relative comparisons across keywords, related and rising queries, regional interest, and country-level Trending Now data. It also surfaces explicit status and error codes so agents can distinguish partial or failed results from real numbers.

A production-ready MCP server that gives Claude access to the entire DataForSEO API v3 through 51 tools, covering SERP, Labs, Keywords, Backlinks, OnPage, Business, and more, with cost controls and response normalization.

Allows users to search for academic conferences and events from WikiCFP by keywords, providing details such as event name, description, dates, location, and submission deadlines.

Provides access to earthquake data from the Thai Meteorological Department (TMD) API. Enables querying recent earthquakes, filtering by location and magnitude, and obtaining statistics.

Enables interaction with LimeSurvey API to create and manage surveys, questions, question groups, activate surveys, and export responses through standardized MCP endpoints.

End-of-day US equity data: MA200 deviation rankings, market breadth, chart-pattern win rates.

An MCP server for Meertrack that enables users to ask their AI agent about competitors' recent activities, digests, and product changes via natural language.

MCP server for Quant Data, providing measured market statistics for index futures and equities, including day-type probabilities, Weis volume-price waves, options max pain, and dealer gamma exposure. Includes free keyless access and emphasizes honest reporting of model limitations.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Give AI agents 10 offline tools for market observations, repeated headlines, forecast evaluation, correlation risk and statistical checks. Preserve source clocks, missing data and stated assumptions. Python, CLI and MCP share the same zero-dependency core; no feed collection or trade execution.