Exist

@Exist what correlations have you found between my sleep quality and productivity over the last month?

Based on your Exist data, here are three notable correlations from the past 30 days: (1) Days with 7+ hours of sleep showed 23% higher productivity scores (moderate positive correlation, r=0.61). (2) Morning workouts correlated with 18% better sleep quality that night (r=0.54). (3) Screen time after 9pm negatively impacted next-day focus (-15%, r=-0.48). These patterns are based on 28 days of tracked data across sleep, activity, and productivity attributes.

This example showcases Exist's core strength: surfacing statistical relationships between life metrics. Requires OAuth2 consent and at least 2-3 weeks of tracked data across multiple attributes. Correlation strength varies by individual tracking consistency — sparse data yields weaker insights.

@Exist show me all the attribute templates I can track, filtered to health and fitness categories

Exist supports 47 attribute templates in health and fitness categories. Key examples include: steps (integer, daily), sleep_total (minutes, daily), weight (decimal, daily), workouts (count, daily), resting_heart_rate (bpm, daily), mood (1-5 scale, daily), and energy_level (1-5 scale, daily). Each template defines the data type, update frequency, and whether it accepts manual entries or requires third-party integrations like Apple Health or Fitbit.

This read-heavy example demonstrates browsing Exist's data schema before logging custom attributes. Useful for understanding what metrics the platform supports and planning integrations. The template list is static per Exist's API version, so results are predictable across accounts.

@Exist pull my profile settings and summarize which integrations I have active and what my current tracking streak is

Your Exist profile shows: Username 'alex_metrics', timezone UTC-8, account created March 2023. Active integrations: Fitbit (steps, sleep, heart rate), RescueTime (productivity score), and Spotify (music listening). Your current tracking streak is 142 consecutive days. Attributes with recent data: 12 of 18 enabled. Email notifications are on for weekly insights; correlation alerts are set to 'moderate strength or higher' threshold.

This synthesis example pairs profile metadata with AI interpretation to give actionable account status. Requires valid OAuth2 token with profile:read scope. The response combines static settings with dynamic streak/integration data — helpful for onboarding or troubleshooting gaps in tracking coverage.

When Exist wins for self-tracking teams doing async work

A 3-person remote consulting team wants to understand why some weeks feel more productive than others. Each person tracks sleep, exercise, and mood in Exist already. The Exist MCP lets them pull correlations into a shared Switchy workspace during monthly retros—no manual CSV exports, no spreadsheet wrangling. The Get Correlations tool surfaces relationships like 'low sleep correlates with fewer PRs merged' without anyone needing to run stats. This works because the team is small and everyone opts in. If you're over 8 people or need company-wide dashboards, you'll hit Exist's per-user pricing wall fast. For tiny teams doing lightweight self-optimization, this is the fastest path from personal data to shared insight.

When this MCP loses for customer success workflows

A 5-person agency wants to automate weekly client health checks by pulling Exist data on client team activity levels. The problem: Exist is a personal life-tracking tool, not a B2B analytics platform. The Get User Attributes and Get User Profile tools return individual user data, not aggregated team metrics or client account rollups. You'd need every client team member to authenticate separately, then manually correlate their personal attributes to project outcomes. That's a non-starter for client-facing work. If you need team-level health signals, use a project management MCP like Linear or Asana instead. Exist shines for personal optimization, not business intelligence. Save it for internal team experiments, not client deliverables.

When this MCP is borderline for new hire ramp-up

A 6-person startup wants to track how new hires' daily habits (commute time, meeting load, focus hours) correlate with onboarding velocity. The Exist MCP can pull attribute templates and correlations, but only if every new hire already uses Exist and grants OAuth2 access. That's a big ask during week one. The Get Attribute Templates tool shows what's trackable, but you're relying on voluntary self-reporting—no automatic Slack or calendar integration. If your team already lives in Exist for personal tracking, this adds useful context to onboarding retros. If not, the setup friction outweighs the insight. Use this MCP when habit data already exists, not as a forcing function to create it.