Ploze

Using Ploze with Claude Desktop

Use Ploze to import your data from a vast array of different services into a searchable timeline, running on your Mac. Now you can query it using Claude:

How does it work?

It uses the new Model Context Protocol to allow Claude to query your Ploze timeline.

Please note that since Claude runs in the cloud, the data that Claude fetches from Ploze will be sent for analysis to their servers.

Configuring Ploze with Claude Desktop

Install Ploze on your Mac using TestFlight.

In Claude Desktop on your Mac, go to Settings->Developer and tap Edit Config.

This will open Finder, and highlight claude_desktop_config.json. Right click it and edit it using your preferred editor … Open With->TextEdit is good.

Assuming you have no other MCP Servers installed, update it to look like this:

{
    "mcpServers": {
        "Ploze": {
            "command": "/Applications/Ploze.app/Contents/MacOS/Ploze",
            "args": [
                "--mcp-server"
            ]
        }
    }
}

Save the file, and restart Claude.

Next you can ask questions, based on the information you’ve loaded into Ploze. You’ll be asked by Claude to give it permission to access Ploze.

Now what?

With your permission, Claude can search your timeline with a specific data range, get details on an entry, and also search by location.

Here are a some examples from my own timeline:

What US national parks have I visited?

What US national parks have I visited?

I'll search through your timeline data to find visits to US national parks. 

Let me look through your location data and any posts or messages that might mention national parks.Great! I can see several US national parks in your location data. 

Let me get more details about these visits and also search for any other mentions of national parks.Let me also search for any other potential national park visits or mentions:

Let me search for a few more major national parks:

Based on your timeline data, here are the US National Parks you have visited:

Confirmed National Park Visits:

  1. North Cascades National Park (Washington) - July 12, 2014
    • You visited the Wilderness Visitor & Information Center in Marblemount
  2. Acadia National Park (Maine) - July 19, 2015
    • This coincides with a KOA reservation in Bar Harbor from your emails
  3. Petrified Forest National Park (Arizona) - July 16, 2016
    • You also uploaded photos from this visit

  4. Mammoth Cave National Park (Kentucky) - August 23, 2017

  5. Hot Springs National Park (Arkansas) - August 19, 2018
    • You visited the Hot Springs Visitor Center
  6. Theodore Roosevelt National Park (North Dakota) - August 18, 2019
    • Specifically the South Unit near Medora

Total Count: 6 US National Parks

Your visits span from 2014 to 2019, and they’re quite geographically diverse - from the Pacific Northwest (North Cascades) to the East Coast (Acadia), the Southwest (Petrified Forest), the South (Hot Springs), the Midwest (Mammoth Cave), and the Great Plains (Theodore Roosevelt). It looks like you’ve been on some great road trips exploring different regions of the US!

Tell me more about the hot springs visit

Tell me more about the hot springs visit

Let me search for more details about your Hot Springs National Park visit and see if there are any photos, messages, or other entries from that time period.

Now let me look at what happened around August 19, 2018 when you actually visited Hot Springs:

Let me get more details about the photos from your Hot Springs visit:

Let me also search for any other mentions of your Arkansas trip:

Based on your timeline data, here’s what I can tell you about your Hot Springs National Park visit in August 2018:

Your Hot Springs Trip - August 2018

The Journey: This was part of a multi-state road trip that took you through Missouri, Arkansas, Oklahoma, and Kansas. You were clearly on an extended American road trip adventure!

Timeline:

What You Did:

Reading Material: Interestingly, you were really into the “Slow Burn” zombie apocalypse book series during this trip - you read through multiple books in the series while on the road!

The Setting: Lake Ouachita is Arkansas’s largest lake and the state park is known for its clear water and outdoor activities. Hot Springs National Park is unique as it’s one of the smallest national parks and focuses on the historic thermal springs that the city was built around.

This looks like it was a lovely outdoor getaway combining lake activities with a visit to the historic thermal springs! The timing suggests you visited Hot Springs on your way out of the area, probably as a nice way to cap off your Arkansas lake adventure.

What does John Siracusa post about on Mastondon, based on posts I’ve favorited?

What does John Siracusa post about on Mastondon, based on posts I’ve favorited?

I'll search through your timeline data to find Mastodon favorites/bookmarks to see what John Siracusa posts about.

Based on your Mastodon favorites, here’s what John Siracusa posts about:

John Siracusa’s Mastodon Content (Based on Your Favorites)

Technology & Apple Commentary

ATP Podcast Content

Personal & Cultural Commentary

Tech Industry People & Personalities

Programming & Development

Personal Interactions

Siracusa’s Style Patterns

Humor: Uses food-related humor (“Mmmmm…”), tech industry inside jokes, and wordplay Expertise: Deep technical knowledge about Apple, macOS, and software development Community: Active engagement with the tech podcast and developer community Nostalgia: References to computing history, childhood memories, and tech evolution

Your favorites show Siracusa as someone who combines deep technical expertise with humor, particularly around Apple/Mac topics, while being deeply embedded in the tech podcast community through ATP. His posts range from serious developer commentary to playful cultural observations.

What hotels did I stay at in London?

What hotels did I stay at in London?

I'll search through your timeline data to find hotels you've stayed at in London.

The search for "London" returned mostly emails and business correspondence, but didn't show specific hotel stays. 

Let me search more specifically for London hotels and accommodations:

Let me search specifically for London hotel bookings or confirmations:

Let me get more details about that Toga hotel booking:I see this was actually a booking for Berlin, not London. 

Let me search more specifically for London hotel stays:

Great! I can see several London hotel stays. 

Let me get more details about these hotel visits:

Based on your timeline data, here are the hotels you’ve stayed at in London:

Your London Hotel History

1. Holiday Inn Express London - City (Old Street)

2. Holiday Inn London - Kensington High Street

3. Premier Inn London Putney Bridge

4. Radisson Blu Edwardian, Kenilworth

London Visit Patterns

Business Focus: Most of your London stays appear to be business-related, based on:

Hotel Choices: You’ve used a mix of hotel chains:

Typical Stay Duration: Mostly short stays (1-2 nights), suggesting business trips rather than leisure visits.

Areas Covered: You’ve stayed in diverse London areas:

Your London hotel choices show a practical approach to business travel, selecting locations convenient to your business activities in different parts of the city.

What linked-in contacts did I make when in London?

I'll search through your timeline data to find LinkedIn connections made during your London visits.

Let me search for LinkedIn connections specifically during your London visits by looking at the timeframes when you were there:

Let me check the business cards you collected in London and see if they correspond to LinkedIn connections:

Let me search for the specific business cards you collected during your London visit:

Now let me search for LinkedIn connections made around your April 2015 London visit:

Let me also check your September 2018 London visit:

Let me search for LinkedIn invitations you may have sent or received around your London visit dates:

Based on your timeline data, here are the LinkedIn contacts you made during your London visits:

LinkedIn Connections from London Business Trips

June 2014 London Visit (Holiday Inn Express - Old Street)

During your June 5-6, 2014 stay in London’s tech district, you collected several business cards and likely made LinkedIn connections with:

1. Alexander …

2. Shelley …

3. Mark …

4. Sanford ..

Timeline Context

Active LinkedIn Period: Your timeline shows you were very active on LinkedIn during 2014, with:

Business Context: Your June 2014 London visit was clearly business-focused:

Connection Pattern

While I can see the business cards you collected (which all had LinkedIn profile links), your actual LinkedIn connection activity during the London visits isn’t fully captured in the timeline data. However, the fact that you:

  1. Systematically collected business cards with LinkedIn details
  2. Were highly active on LinkedIn during this period
  3. Visited tech hubs where networking would be expected
  4. All contacts were senior tech/sales professionals

…strongly suggests you connected with these contacts on LinkedIn following your meetings.

The most likely connections from your London visits were Alexander …, Shelley … (Mobile Marketing), Mark … (Fjord), and Sanford … (… International) from your June 2014 trip to London’s tech district.

What subscription services am I paying for?

What subscription services am I paying for?

I'll search through your timeline data to find subscription services you're paying for.

Let me search for more recent subscription-related terms:

Let me search for other subscription-related terms:

Let me search for other streaming services and subscription patterns:

Let me also search for other major subscription services:Based on your timeline data, here are the subscription services you’re paying for:

Current Subscription Services

Core Productivity & Cloud Services

Entertainment & Media

Professional Software

Reading & Learning

Development & Professional

News & Information

Podcast Platforms

Notable Patterns:

The total suggests you’re paying for roughly 10-12 different subscription services across productivity, entertainment, learning, and professional tools.

What books did I read during the pandemic?

I'll search through your timeline data to find the books you read during the pandemic period (roughly 2020-2021).

Let me search for more specific book-related terms to get your reading activity:Let me search for Audible and Kindle to get more reading activity:

Let me also search for "listened" to see your audiobook consumption:

Let me search for specific book titles and authors to get a better picture:

Now let me search for other popular pandemic-era books:

Based on your timeline data during the pandemic (2020-2021), here’s what you read:

Books You Read During the Pandemic

Major Science Fiction Series: The Expanse

You went deep into James S.A. Corey’s The Expanse series in early 2020, buying the entire series on Audible in February:

William Gibson

The Peripheral - You both listened to the audiobook AND read the ebook version simultaneously in late February/early March 2020. You spent significant time with this (235+ minutes of audio, plus separate reading sessions).

Classic Literature

Little Women - You listened to an Audible Original Drama version in January 2020 (over 500 minutes total).

Other Reading Activity

Reading Pattern: You clearly embraced audiobooks during the pandemic, with most of your consumption being through Audible. The Expanse series was a major focus - perfect escapist sci-fi during lockdown! The fact that you read both audio and text versions of The Peripheral shows you were really engaged with that book.

Your pandemic reading was heavy on science fiction, which makes sense - both The Expanse and The Peripheral offered immersive future worlds that were probably a welcome escape during 2020!

What did I do when I’ve visited Mountain View, California?

What did I do when I’ve visited Mountain View, California?

I'll search through your timeline data to find visits to Mountain View, California and see what activities you did there.

Let me search more specifically for California visits with location data:

Let me search more specifically for actual location visits to Mountain View with location coordinates:Great! I can see you've made several visits to Mountain View, California, particularly around the Evernote headquarters area. 

Let me get more details about these visits:

Based on your timeline data, here’s what you did during your visits to Mountain View, California:

Your Mountain View Visit History

August 2011 - First Evernote Visit

December 2011 - Business Trip

February-March 2012 - Extended Visit

August 2013 - Major Business Trip

This was your most documented Mountain View visit:

Accommodation: Hampton Inn & Suites Mountain View (multiple nights: Aug 19-24)

Daily Activities:

Side trip: SFO-LAX-SFO flight on August 17 (day trip to Los Angeles)

May 2014 - Google Visit

September-October 2014 - Final Documented Visit

Summary of Activities

Primary Purpose: Your Mountain View visits were clearly business-focused, primarily involving:

  1. Evernote headquarters visits (2011-2012) - You even called it “visiting the mothership”
  2. Google meetings (2013-2014) - Multiple visits to Google Building 46

Secondary Activities:

The pattern suggests you were involved in business relationships or consulting work with both Evernote and Google during these periods, with Mountain View serving as your base for Silicon Valley business activities.

What music did I listen to in 2020?

What music did I listen to in 2020?

I'll search through your timeline data to find your music listening history from 2020.

Let me get more music from 2020 to give you a fuller picture:

Let me continue to get more from later in 2020:

Based on your music listening data from 2020, here’s a comprehensive overview of what you listened to that year:

Your 2020 Music Profile:

You had an incredibly diverse taste that year, with some clear favorites and themes:

Top Artists/Genres You Enjoyed:

Notable Patterns:

Some Standout Discoveries/Repeats:

Your 2020 listening shows someone with sophisticated musical taste who appreciates both timeless classics and theatrical storytelling through music!