"How to control macOS settings or functions" matching MCP servers:

Enables AI assistants to convert recipe amounts between volume and weight for specific ingredients using measured densities, scale recipes, and convert oven temperatures, with source citations and alternative published values.

Enables AI assistants to look up US census tract, block group, block, county FIPS, and legislative districts from a street address or latitude/longitude via the Census Geocoder, and to decode census GEOIDs offline.

Enables AI assistants to convert raw and cooked weights for meat and poultry by cut and cooking method from USDA data, calculate how much raw meat to buy for cooked servings, and look up cooking yields and sample ranges.

Enables resolving the likely employer behind Gmail, Outlook, iCloud, Yahoo, and other free-mail signups by checking public Gravatar profiles, signed GitHub commits, and LinkedIn results. It returns the person’s name, employer, employer domain, confidence score, and evidence URLs.

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 searching government awards through the Sell to State API by proxying JSON-RPC to the live HTTP MCP endpoint, requiring an API key.

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.

Serves the free Frankfurter exchange-rate API as MCP tools over stateless Streamable HTTP on Cloudflare Workers, letting clients list supported currencies, fetch the latest rates, and look up historical rates for a given date. Each OpenAPI operation becomes one tool, with argument validation and per-IP rate limiting.

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

Enables users to look up any company's Google advertising by domain or verified advertiser name, returning one row per ad with its format, first and last shown dates, creative link, and Transparency Center permalink. Also returns a per-company summary stating whether the advertiser runs Google ads, roughly how many, and in which formats, with unfiltered by region, format, recency, or ad count.

Enables AI clients to search, read, and accurately quote public-domain books from Project Gutenberg, with chapter detection and stable line numbers for citation. Its quote_check tool verifies whether a quotation actually appears in a book and reports how faithful the copy is.

Enables offline, millisecond querying of a locally built SQLite snapshot of TibiaWiki, letting an agent resolve approximate page names, filter creatures and items by stats and damage modifiers, and find how any item is obtained via drops, vendors, or quest rewards. Every response reports when the index was generated, and no network calls are made.

A read-only MCP server that supplies live context from Sleeper fantasy-football leagues, including rosters, trade analysis, draft picks, and league settings via Sleeper's public API.

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.

Returns USDA-derived edible yield, refuse percent and trim waste for 305 raw fruits and vegetables, letting an assistant convert between as-purchased and edible weights. It also answers how many whole items or how much produce to buy for a recipe amount given in grams, pounds, cups or household measures.

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 query The Economist's Big Mac index from 2000 to the latest release, retrieving a country's local price, dollar price and exchange rate, or ranking currencies by how over- or under-valued they are against the dollar, euro, pound, yen or yuan, both raw and GDP-adjusted. Keyless, with historical releases, alias handling and full source attribution.

Exposes read-only tools for querying USDA FAS PSD Online commodity supply and distribution data, with every response carrying release metadata such as source, endpoint, retrieval time and vintage. Results are capped by row count and size, with guidance returned on how to narrow a query.

Enables users to look up a company's open job postings from public Greenhouse, Lever, and Ashby boards, returning them in one normalized shape with filtering by keyword, location, remote status, and posting date. It also identifies which of those three ATSs hosts a given company's board and how many roles are open there.

Enables AI assistants to query HITRAN molecular species and spectral lines, compute absorption and transmittance spectra using multiple line profiles, plot spectra, and retrieve partition functions, with data fetched live from HITRANonline via HAPI.

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 querying FAOSTAT statistics through read-only tools whose results are row- and size-capped, with a note on how to see the remainder. Every response carries release metadata such as source, endpoint, retrieved_at, published_at, and vintage.

Enables looking up a country's annual peacefulness score, its rank and how that rank moved versus the prior edition, or pulling ranked lists of the most and least peaceful countries, so a spike of conflict or violence news can be read against a country's standing peacefulness level.

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.

Enables AI agents to look up how each U.S. House member voted on individual House Clerk roll calls, to retrieve a member's attendance and party-line voting shares with explicit denominators and exclusions, and to list every member's position on a given roll call. Keyless, covering the 119th Congress (sessions 1 and 2), with unsupported chambers and Congresses returning a stated reason.

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.

Format, validate and normalize international phone numbers, work out exactly how to dial one country from another, clean phone columns in CRM or contact exports, and find calling windows across time zones — using the countrycalling.codes API and MCP server.

Enables agents to build and inspect AI-safety reading volumes by mounting live arXiv papers and open-access textbooks, grading how well those volumes cover ten risk classes, and exporting syllabi or sealed JSON. Every mutation is appended to a replayable SHA-384 audit chain that can be verified link by link.

An MCP server that retrieves and provides Wikipedia content for requested topics, enabling easy access to Wikipedia information directly through the Model Control Protocol.

Converts natural-language questions into ranked recommendations of authoritative primary data sources, complete with authority levels, access URLs, API details, and traceable evidence chains. Also provides step-by-step site navigation guides that pinpoint exactly how to reach the target data on complex government, international organization, and market disclosure websites.

Enables spatial analysis of large remote GeoParquet files directly from object storage without downloading or importing data, using DuckDB's predicate and projection pushdown to answer queries efficiently.

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?'.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.

Enables users and AI agents to resolve tickers, CIKs, or company names to official SEC entity data and retrieve recent EDGAR filings, XBRL financial facts, and optional filing-text excerpts. It delivers structured, source-linked rows for research and tooling, with schema-versioned output and machine-readable error codes.

Hourly electricity grid carbon intensity (gCO2eq/kWh) for 45 zones across Europe, the US and Great Britain, computed from ENTSO-E, EIA and NESO generation data. Four read-only tools; every value carries its interval timestamp and how stale it is. No API key, no account.

Enables querying the Urban Institute's Education Data Portal — harmonized federal data on schools, school districts, and colleges — through a discovery-first set of tools that search and describe datasets, fetch raw records or aggregated statistics, decode coded values, and resolve institution names to IDs, with no API key required and read-only access to the live API.