"How to Run a Python Script" matching MCP servers:

Enables AI clients to access Chinese and global trademark data, including search, announcements, classification, review documents, transfer records, and applicant risk clues through the Quandashi platform.

A Python FastMCP server that re-exposes Kindora's public funder and grant tools for ChatGPT, enabling grant discovery from IRS 990 filings and Grants.gov.

Provides official INDEC register designs and methodological rules to AI models, enabling accurate EPH data analysis code (R/Python) without hallucinations.

Enables AI agents to search and analyze Ukraine's national open-data portal (data.gov.ua) using natural language, with tools for finding datasets, inspecting metadata, and retrieving actual data.

Enables AI assistants to answer Brazilian voters' pre-election questions from TSE open data, including comparing candidates, finding polling places, checking election dates and voting hours, and retrieving candidate details through MCP tools without personal registration data.

MCP server for searching the National Diet Library of Japan (NDL Search), enabling Japanese-script bibliographic and article searches with rate limiting and attribution.

Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.

Connects Claude-compatible clients to the Elephant data graph, enabling discovery of data groups, classes, and property schemas. Supports semantic code search for verified script examples via OpenAI or AWS Bedrock embeddings.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

Enables any MCP client to look up CVE intelligence — severity summaries, filtered searches, and full per-CVE detail fusing NVD, MITRE-CNA pre-NVD, CISA KEV, EPSS, and GitHub GHSA data — alongside a Shodan-derived internet-exposure footprint showing how many internet-facing services run a version mapping to a given CVE. It is free, keyless, and read-only, and distinguishes verified zeros from unassessed or failed lookups.

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 AI agents to access Brazilian statistical, geographic, and economic data in real-time via IBGE public APIs.

Enables AI agents to autonomously discover, stream, and compute satellite analytics from free government Earth observation archives. Provides tools for STAC search, spectral indices, elevation profiles, SAR water detection, and sandboxed geospatial scripting.

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.

An MCP server for querying Taiwan company registry open data, enabling search by name, number, directors, business items, and branch offices.

A Python MCP server that provides unified access to satellite and geospatial data through natural language queries, with automatic place name geocoding and support for raster, vector, and Zarr formats.

A Python MCP server for discovering and analyzing Sentinel-2 L2A imagery, enabling AI agents to search scenes, check quality, and compute spectral indices like NDVI, NDWI, and NBR from remote COG windows.

Provides tools to retrieve current weather conditions and daily forecasts for cities worldwide using the Open-Meteo API. This Python-based server enables MCP-compatible clients to access real-time meteorological data through a standardized interface.

A Python MCP server that queries Spanish Cadastre services for non-protected cadastral data and exports parcel geometry in GML, GeoJSON, and IFC formats.

Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.