"The official Python standard library documentation" matching MCP servers:

An MCP server that gives AI agents clean, token-efficient access to US civic & property data — geocoding, census tracts, Opportunity Zones, ACS demographics, and FEMA flood zones — sourced entirely from free federal open data.

Provides a compact, task-oriented wrapper around the CDISC Library API for discovering, searching, and fetching Biomedical Concepts and SDTM Dataset Specializations.

Enables researchers to query and reconcile taxonomic data from the Lacewing Digital Library and Neuropterida Species of the World, including accepted names, type localities, distributions, references, and phylogeny records.

Provides access to Internet Archive's Open Library metadata, enabling queries about books, authors, and subjects via natural language through the Pipeworx gateway.

Enables searching and retrieving articles, sections, and tags from The Guardian via the Guardian Open Platform API.

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

Enables searching the Wake County Public Library catalog and all NC Cardinal libraries, returning book details including title, author, format, availability status, and direct catalog links.

Enables AI agents to access US public library data from the federal IMLS Public Libraries Survey, including proximity searches, library system profiles, and statewide statistics.

Enables AI agents to query real-time, audited Brazilian public data on fuel and LPG prices, regulated medicine ceilings and Farmácia Popular eligibility, and basic food basket/cost-of-living indicators across all 27 states via MCP tools, prompts, and resources.

Provides AI assistants with real-time and historical gold buying condition scores, including current readings, past data, and zone performance since 1971.

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.

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.

Exposes 97 official Shanghai Library open data APIs and the Sou-Yun poetry database (1.99 million poems) as 12 MCP tools, covering genealogy, ancient books, calligraphy, historical buildings, and more. Enables MCP clients to query these datasets using natural language.

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

Enables AI assistants to perform full-text search across a large Chinese Buddhist canon library and retrieve the complete Markdown text of individual texts in Simplified or Traditional Chinese. Content is delivered with source URLs and license pointers.

Enables searching the National Library Board Singapore catalogue by title, author, ISBN, or subject, and checking real-time availability of books across library branches.

Provides library visit time recommendations and book recommendations by analyzing real lending data from the Data4Library Open API.

Fetches books by genre or subject from the Open Library API without requiring an API key, returning titles, authors, and publication years.

MCP server that resolves postal/ZIP codes to place names, states, and coordinates using Zippopotam.us. Free, no API key required.

Enables real-time domain registration lookups via RDAP, including availability, expiration, and registrar details, with no API key required. Supports natural language queries like 'is example.com available?' or 'when does example.com expire?'.