"Python" matching MCP servers:

A base MCP server in Python providing tools for basic operations (ping, sum, time, list invert) and legal jurisprudence search via LexML Brasil.

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.

Provides a ready-to-run MCP server and Python SDK for securely interacting with Openapi.com APIs, enabling businesses to retrieve official documents and data through natural language.

A Python stdio MCP server for querying standards metadata and downloading public standard documents from supported sources.

Python based with all 29 tools that's available to developers from National Park Services (NPS)

Wraps the Python Package Index (PyPI) JSON API to enable querying package information, such as details and versions, without authentication.

Enables querying PyPI download statistics for packages, including recent totals, daily timeseries, and breakdowns by Python version and operating system, without an API key.

MCP server that provides US National Weather Service forecasts and active weather alerts through MCP tools, using no API key but supporting US locations only.

Python MCP server for querying Overture Maps building footprint data via address search, building lookups, and nearby building listings.

Gives AI agents structured, typed access to Canadian open data through a single server covering Statistics Canada tables, Census and public use microdata, the Bank of Canada, CMHC, federal agencies and federal, provincial, territorial and municipal open-data portals, in English and French. It offers roughly 200 tools for querying, planning multi-source queries, and generating reproduction code in R, Python, Stata or Julia.

MCP server pulling academic publications (arXiv, PubMed, HF Daily Papers), trending code (GitHub, HF Hub), and medical-device regulatory data (FDA 510(k), recalls) into newspaper-style briefings. Per-category round-robin, weighted configuration, sandbox-safe Python launcher.

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.

Enables querying Türkiye Sigorta Birliği’s Kasko Değer Listesi (vehicle insurance valuation list) through MCP, CLI, and Python, allowing natural language lookup of current and historical vehicle insurance values.

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

Seed oil (PUFA) data for 500+ US restaurant chains: letter grades, the oil each chain fries in, cleanest menu items, and rankings. Zero-dependency Python stdio server backed by the free hosted Seed Oil Tracker endpoint, no key or account needed.

An MCP server that exposes the IPUMS API as LLM tools for browsing metadata, creating and downloading extracts, and generating reproducible R/Python code.

MCP server for searching and accessing Korean public data from data.go.kr, enabling dataset search, metadata lookup, and data retrieval/download via Python API or CLI.

Search and load AI fine-tuning and evaluation datasets, prompts and few-shot contexts from the ContexteTech catalogue, grounded in official European sources, in 9 languages. Dataset download links (JSONL, ShareGPT, Alpaca, CSV) and cost estimates per model.

Public MCP research for AI finance and trading agents: funding, bank risk and liquidity evidence. Companion SDK: persistent Python MCP sessions and Python/JS source-status streams. Setup: https://beepboop2025.github.io/financial-evidence-skills/distribution/ai-trading-tools.html. No data API key. Keep source dates, rights and gaps. No live quotes or execution.

Family history research toolkit with 79 archives and databases, name variants, historical calendars, kinship, evidence checks, GEDCOM auditing and archive-request drafts. An MIT-licensed Python MCP server that runs locally without API keys or network requests.