The reputation layer for AI skills, tools & agents

jlumbroso/passage-of-time-mcp

Score: 21.5 Rank #10915

🤖🕰️ An MCP server that gives language models temporal awareness and time calculation abilities. Teaching AI the significance of the passage of time through collaborative tool development.

Overview

jlumbroso/passage-of-time-mcp is a Python MCP server licensed under MPL-2.0. 🤖🕰️ An MCP server that gives language models temporal awareness and time calculation abilities. Teaching AI the significance of the passage of time through collaborative tool development.

Ranked #10915 out of 25632 indexed tools.

Ecosystem

Python MPL-2.0

Signal Breakdown

Stars 713
Freshness 9mo ago
Issue Health 0%
Contributors 1
Dependents 0
Forks 49
Description Detailed
License MPL-2.0

How to Improve

Freshness high impact

Last commit was 272 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 5 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Badge

AgentRank score for jlumbroso/passage-of-time-mcp
[![AgentRank](https://agentrank-ai.com/api/badge/tool/jlumbroso--passage-of-time-mcp)](https://agentrank-ai.com/tool/jlumbroso--passage-of-time-mcp)
<a href="https://agentrank-ai.com/tool/jlumbroso--passage-of-time-mcp"><img src="https://agentrank-ai.com/api/badge/tool/jlumbroso--passage-of-time-mcp" alt="AgentRank"></a>

Matched Queries

"mcp server""mcp-server"

From the README

# "Passage of Time" Model Context Protocol (MCP) Server 🕐

An MCP server that gives language models temporal awareness and time calculation abilities. Teaching LLMs the significance of the passage of time through collaborative tool development.

## 📖 The Story

This project emerged from a philosophical question: "Can AI perceive the passage of time?" What started as an exploration of machine consciousness became a practical solution to a real problem - LLMs can't reliably calculate time differences.

Instead of publishing a paper about how "silly" these models are at mental math, we decided to do what we've done for ourselves: **equip them with a calculator for time**.

Through human-LLM collaboration, we discovered that with proper temporal tools, models can uncover surprising insights about conversation patterns, work rhythms, and the human experience of time.

[Read the full story on Medium →](https://medium.com/@jeremie.lumbroso/teaching-ai-the-significance-of-the-passage-of-time
Read full README on GitHub →
Are you the maintainer? Claim this listing