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Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text.

Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude/GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo.

If time works, what else could we surface? - Location / movement (GPS, speed, “I’m on a train”) - Weather (rainy evening vs clear morning) - Device state (battery low, poor bandwidth) - Ambient modality (user is dictating on mobile vs typing at desk) - Calendar context (meeting starts in 5 min) - Biometric cues (heart‑rate spikes while coding)

Curious what other signals people think would unlock better collaboration.

Full back story: https://medium.com/@jeremie.lumbroso/teaching-ai-the-signifi...

Happy to discuss MCP patterns, tool discovery, or future “senses”. Feedback and PRs welcome!

Comments (3)

riedel · 1m ago

I am giving a lecture on context sensitive systems. One thing where all this context awareness failed was getting it into higher level reasoning and adapting program logic (think for example the android activity API). I was just telling the students that with MCPs as interface to all the context sources (like sensor based activity classifiers but definitely also time) we might overcome that challenge soon. Cool to see starting to implement that kind of stuff...

jayd16 · 1m ago

I was looking for the calendar app that was built but I guess it's metaphorical.

"We made an API for time so now the AI has the current time in it's context" is the bulk of it, yes?

rlupi · 16m ago

Physical/mental health and personal journaling?

I just finished some changes to my own little project that provides MCP access to my journal stored in Obsidian, plus a few CLI tools for time tracking, and today I added recursive yearly/monthly/weekly/daily automatic retrospectives. It can be tweaked for other purposes (e.g. project tracking) tweaking the templates.

https://github.com/robertolupi/augmented-awareness

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Comments (3)