"How to automate uploads on Douyin (TikTok China)" matching MCP servers:

Enables real-time China nationwide air quality monitoring via CNEMC, with AQI, pollutant concentrations and levels, quality ratings, city rankings, and station-level details.

Enables querying China's official foreign exchange reserves, balance of payments, and external debt data from SAFE's English-language data pages, including publication-date metadata for freshness.

Enables AI agents to look up Chinese phone number carrier and location information using MIIT official data.

Enables AI agents to query reference pump prices for 92/95/98 gasoline and 0# diesel across all 31 Chinese provincial-level regions, along with the next expected price-adjustment window, through a hosted Streamable HTTP endpoint or a self-hosted FastMCP server.

MCP server for consulting vehicle data from DETRAN TO official source. Read-only, pay-per-use, works with any MCP-compatible client.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables consultation of negative debt certificates (Certidão Negativa de Débitos) from the Palmas, TO city government through an official source.

Enables natural language queries to official dental council registration data in Tocantins, Brazil. Read-only, hosted, and works with any MCP client.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

Enables MCP clients to list research topics, route queries across money-market, capital-market, bank-risk, market-liquidity, and China-economy domains, and fetch read-only structured results from bounded public evidence without requiring an account or API key.

Enables AI agents to search and retrieve academic papers from China National Knowledge Infrastructure (CNKI), supporting various search types including subject, keyword, author, and DOI lookups.

Enables querying China National Bureau of Statistics data including economic indicators, time series, and regional statistics. Supports natural language search, batch queries, comparisons, and analysis across monthly, quarterly, and yearly datasets.

Real-time web intelligence with freshness timestamps. Every extraction returns a dated envelope so AI agents know exactly how old the data is. Covers GitHub, HN, Scholar, arXiv, YC, jobs, finance, and package trends.

Enables querying of China Historical Geographic Information System (CHGIS) database for historical place names, administrative divisions, and geographical data from 222 BCE to 1911 CE. Supports searching by place ID, name, year, administrative type, and retrieving historical context and hierarchical relationships.

China hard-tech supply-chain intel as an MCP server — pre-registered, timestamped, falsifiable signal board covering semiconductors, solid-state batteries, eVTOL/low-altitude economy, and innovative drugs.

Get hot trending topics from social media platforms like Weibo, Douyin, Bilibili, etc. via Streamable HTTP endpoint.

Enables real-time queries about vessels currently near Poole, such as what is on the water, whether a specific ferry is running, and how many boats are moving.

Enables assistants to directly query a large community archive, including user activity, thread development, and front-page history over decades. It provides read-only access to answer questions about who is most active and how the community has changed.

This MCP server exposes a set of tools that fetch real-time model IQ and recommendation data from codexradar.com, allowing MCP clients like MaiBot or Claude Desktop to answer questions about which AI model is currently the smartest, how to configure effort tiers for different usage scenarios, and whether any model has recently experienced a performance drop.