"General Information About Time" matching MCP servers:

A general-purpose MCP server providing time-related utilities such as fetching current time, Unix timestamps, and formatting services. It supports both local stdio and remote SSE communication modes for versatile AI client integration.

Provides AI agents with accurate current time and date, including the Jalali (Persian) calendar, timezone-aware with automatic DST handling, via an MCP server.

MCP server for parsing Chinese fuzzy time expressions (e.g., '昨天', '下午3点', '中秋节') into standard datetime formats.

A Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Provides current local time and time in any IANA timezone, along with timezone listing and NTP-based time retrieval with clock offset information.

Search and retrieve detailed information about Swiss companies from the official Zefix register, including company profiles, corporate structures, and SHAB publications.

MCP server providing Korean weather forecasts from the KMA (short-term, hourly, daily) and timezone utilities (current time, conversion, lookup) using only standard Python zoneinfo.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Provides high-accuracy time information by querying multiple NTP servers for consensus time, and comprehensive timezone support using IANA tzdata for conversions, DST handling, and clock drift detection independent of system time.

MCP server that provides AI assistants with real-time, current information about AI models from OpenAI, Anthropic, and Google, including pricing, capabilities, and context windows.

MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.

MCP server for Atlanta MARTA real-time transit data, enabling queries about train arrivals and bus positions via natural language.

Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

Enables Claude to search, browse, and read more than 20 million digitized historical US newspaper pages from the Library of Congress's Chronicling America archive, covering the 1700s through 1963. Queries can be filtered by date range, state, newspaper, or front pages only, and results include full OCR text with citations and links back to each scan and PDF.

Provides access to Aceternity UI component library documentation, enabling AI assistants to browse, search, and retrieve detailed information about components.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Enables users to query archived copies of SaaS pricing pages from the Wayback Machine to see plan names and prices at any past date, track price changes and periods over time, and compare up to eight competitors' pricing side by side.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.