FindYourFivePM▌
by findyourfivepm
FindYourFivePM — discover cities where it's currently 5 PM around the world. See local times instantly and plan your cal
Discover cities where it's currently 5PM around the world
github stars
★ —
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Remote workers scheduling calls across timezones
- / Travel planning and timezone exploration
- / Geographic data research and analysis
capabilities
- / Find random cities where it's currently 5PM
- / Get detailed city information by location ID
- / View timezone and time data for cities
- / Access geographic details for discovered cities
what it does
Finds cities around the world where it's currently 5PM and provides detailed information about those cities.
about
FindYourFivePM is an official MCP server published by findyourfivepm that provides AI assistants with tools and capabilities via the Model Context Protocol. FindYourFivePM — discover cities where it's currently 5 PM around the world. See local times instantly and plan your cal This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install FindYourFivePM in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
FindYourFivePM is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the FindYourFivePM MCP server?
- FindYourFivePM is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for FindYourFivePM?
- This profile displays 27 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★27 reviews- ★★★★★Liam Ramirez· Dec 28, 2024
FindYourFivePM is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Dhruvi Jain· Dec 8, 2024
We wired FindYourFivePM into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Zara Taylor· Dec 8, 2024
Strong directory entry: FindYourFivePM surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Layla Diallo· Dec 4, 2024
FindYourFivePM is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Oshnikdeep· Nov 27, 2024
FindYourFivePM reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Aanya Yang· Nov 23, 2024
I recommend FindYourFivePM for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Zaid Okafor· Nov 19, 2024
We evaluated FindYourFivePM against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ganesh Mohane· Oct 18, 2024
FindYourFivePM is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Emma Zhang· Oct 14, 2024
According to our notes, FindYourFivePM benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Zaid Chen· Oct 10, 2024
We wired FindYourFivePM into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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