"google trends" matching MCP servers:

Read-only MCP server for the Ukrainian state auction platform Prozorro.Sale. It enables users to search auctions, retrieve detailed information, timelines, results, documents, and analyze market trends through natural language.

MCP server exposing Taiwan's MOPS salary data (2019-2025) via four read-only tools, enabling LLMs to query company salaries, industry stats, and trends under strict constraints.

Enables querying CBR driving exam pass rates and exam statistics by driving school, exam centre, city, and province, including rankings and trends over time.

Read-only MCP server for exploring US federal spending data via the USAspending.gov API, enabling natural language queries on awards, agencies, recipients, and spending trends.

Provides comprehensive startup consulting services including commercial area analysis, competitor research, policy funding recommendations, startup checklists, and business trends using Kakao Map API and public data.

Provides access to Medicaid public data including drug pricing (NADAC), state enrollment trends, federal upper limits, drug rebate information, and utilization statistics through a hybrid CSV caching and DKAN API approach.

Provides comprehensive access to South Korea's National Library information system, enabling searches across 1,000+ public libraries, real-time book availability checks, borrowing trends, and location-based library discovery.

Provides Hawaii cumulative hybrid and electric vehicle registration data from 1999 to present, enabling queries about EV adoption trends and counts per year.

Enables workforce and labor market analysis for Specified Skilled Workers in Japan by aggregating public census data to provide regional and industry insights, labor supply-demand gaps, competitive landscape, and wage trends.

Enables querying SEC EDGAR public company filings and XBRL financial data, such as 10-K, 10-Q, 8-K, insider trading disclosures, and revenue trends, without authentication.

Enables querying England & Wales baby names data via natural language, including top names, popularity trends, geographic breakdowns, and similar names, through MCP-compatible clients like Claude.

Read-only MCP server for querying H-1B sponsoring employers from the USCIS dataset, providing tools to search employers, get year-by-year approvals, top sponsors, and trends across FY2009-2026.

This MCP server enables querying Medicaid drug utilization, managed-care enrollment, and state enrollment data from CMS's public Medicaid Open Data API, with tools for trends, market analysis, and program mix without authentication.

Enables research of federal contract awards, market opportunities, and competitive landscapes using the USASpending.gov API. It provides specialized tools for AI agents to analyze government spending trends, identify incumbents, and search contractor details.

Server that brings World Bank Open Data to AI assistants. 10 tools · Zero authentication · LRU caching · Sparkline trends · Cross-country comparisons

Enables AI assistants to query and analyze Korean property data—court auctions, actual transactions, subscription announcements, price trends, and loan/tax calculations—through MCP tools.

MCP server that provides England & Wales baby names data from the ONS birth registration dataset, enabling queries about top names, popularity trends, and geographic breakdowns via natural language.

MCP server for the Korea Real Estate Board (R-ONE) open API, enabling users to search and retrieve hundreds of real estate statistics tables including apartment sale/jeonse price indices, land price change rates, and transaction trends through generic tools.

Server that gives AI assistants structured access to the Nobel Prize API v2.1. Query laureates, prizes, categories, country stats, and historical trends spanning 1901 to present across all six prize categories.

Enables AI agents to query official Statistics Denmark data without an API key — pulling national population counts and trends, browsing the subject tree, searching available tables, inspecting variable metadata, and retrieving detailed breakdowns by region, age, sex, and period in JSON-stat, bulk, or CSV format.