Data & Analytics · Exist + Claude
Exist MCP with Claude: Turn Personal Habit and Mood Data into Clear Actions
The short answer
Claude connects to Exist through the Model Context Protocol (MCP), an open standard that lets Claude securely read data from the app. Once connected, Claude can fetch personal analytics, review habit tracking and mood trends, and answer questions in natural language. Access is granted through OAuth sign-in, so the owner controls what is shared.
What is Exist?
Exist is a personal analytics app that brings together data from several services to show how daily habits, mood and productivity change over time. Individuals use it to spot patterns in their routines and understand what affects their wellbeing. Coaches, wellness programmes, researchers and managers running self-improvement initiatives also use it to review trends with the people they support. It turns scattered records into a single picture of progress.
How Claude connects to Exist through MCP
The Model Context Protocol is an open standard that lets Claude use other software securely. Think of it as a universal adapter between Claude and the tool. Exist provides the connection, so Claude can reach the data you have chosen to share, with permissions the organisation controls.
Once connected, Claude can read your Exist analytics, habit records and mood trends, then explain what they show in everyday language. You can ask questions such as which habits tend to go with better mood, or how productivity changed over the past month. Claude can also summarise patterns and suggest experiments to try.
Permissions and approvals keep people in charge. Access is granted through OAuth sign-in, which means the account holder approves the connection and can revoke it at any time. We set access to the least needed for each workflow, and any action that matters is reviewed by a person before it is taken.
What you can automate
Weekly wellbeing review for a coaching practice
A coach connects client data so Claude can prepare a short weekly summary of habit streaks, mood shifts and sleep-related patterns. The coach reviews the summary before each session, saving preparation time and making conversations more focused on what has actually changed.
Personal productivity reporting for knowledge workers
An individual uses Claude to ask how focus time and task completion have changed across the quarter. Claude pulls the relevant trends from Exist and explains what seems to help, such as earlier starts or fewer late meetings, giving the person a clear basis for adjusting their routine.
Employee wellness programme insights
An HR team running an opt-in wellness scheme reviews anonymised, consented trends to see which support measures seem to be working. Claude helps group results and highlight patterns, while the team checks that privacy rules are followed and that no individual can be identified.
Habit-change experiments for health teams
A clinic or health team sets up a short habit experiment with a patient who has agreed to share data. Claude tracks the agreed habits, flags changes in mood or activity, and drafts a plain-language progress note for the clinician to review and adapt.
Research and self-study projects
A researcher studying how daily routines relate to mood uses Claude to analyse participant data that has been collected with consent. Claude helps identify candidate patterns and draft questions for further study, while the researcher keeps full responsibility for methods and conclusions.
An end-to-end workflow: Monthly wellbeing and productivity review
TriggerThe first working day of each month, a wellbeing lead starts the review workflow for a consenting group of staff.
Claude requests the agreed Exist data for the previous month through the OAuth-authorised connection.
Claude compares habit completion, mood trends and focus-related measures against the prior month.
Claude drafts an anonymised summary highlighting the main changes and possible links between habits and mood.
The wellbeing lead reviews the draft and removes anything that could identify an individual.
The approved summary is saved to the team's document system in Microsoft 365, and a task is created in the project tracker for follow-up actions.
OutcomeThe team receives a consistent, reviewed monthly summary that saves hours of manual analysis and helps decide which support measures to keep, change or stop.
How we set it up
Book a free automation audit
We review your current use of Exist and identify the workflows most worth automating, such as reviews, reporting or habit tracking.
Connect Exist through OAuth sign-in
Account holders sign in with OAuth, approving only the access each workflow needs. We set up the connection using Exist's MCP server or a secure managed connector, with least-privilege permissions.
Design the end-to-end workflow
We map how Exist data flows into Claude and onward to your other systems, such as Microsoft 365, your CRM or ticketing tool. We define where people must approve actions.
Test against real past cases
We run the workflow on past data and check the outputs against known results, adjusting prompts and rules until summaries are accurate and clearly worded.
Launch, monitor and train
We go live with monitoring and audit logs, then train your team on using, reviewing and maintaining the workflow safely.
Who benefits
- Wellbeing and HR leads
- Consistent, reviewed summaries of programme trends without manual data gathering.
- Coaches and clinicians
- Clear preparation notes that focus sessions on real changes in habits and mood.
- Operations and IT managers
- A governed connection with clear permissions, audit logs and defined approval steps.
- Individual professionals and researchers
- Quicker answers to questions about routines, focus and mood, with full control over their own data.
Security and control
- Access is granted through OAuth sign-in, and the account holder can review or revoke it at any time.
- Least-privilege permissions limit Claude to the data each workflow actually needs.
- People review and approve any consequential action or any output shared beyond the team.
- Audit logs record what Claude accessed and when, supporting internal review.
- Analyses of personal data are used for insight and reflection, not for clinical diagnosis, which remains the responsibility of qualified professionals.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom must handle personal and health-related information in line with their applicable privacy rules, and we design workflows to match. In India, workflows follow the Digital Personal Data Protection Act, 2023, including consent and purpose limitation. Organisations in the Middle East, including the UAE and Saudi Arabia, are subject to local data protection laws, and we select the hosting region for Claude-based applications to meet those requirements.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Exist MCP server do?
The Exist MCP server acts as a secure connection between Claude and your Exist account. It lets Claude request the analytics, habit and mood data you have authorised. The server does not change your data on its own. Its role is to provide a controlled, standard way for AI tools to read personal analytics and help you interpret them.
Is connecting Exist to Claude secure?
Security depends on how the connection is set up. We use OAuth sign-in, so the account holder approves access directly, and we apply least-privilege permissions. Audit logs record activity, and people approve any consequential step. We also review data handling against the privacy rules that apply to your organisation and region.
What can Claude do with Exist data?
Once connected, Claude can fetch personal analytics, review habit tracking and analyse mood trends. It can explain patterns in plain language, compare periods, summarise progress and suggest experiments. Typically it supports reflection and planning, while decisions about health or performance stay with the people responsible.
How long does setup take?
Timing depends on the scope. A single personal connection can often be set up quickly, while a team workflow with testing, integration and training usually takes several weeks. The free automation audit gives you a clear timeline before any work begins.
Which plan or permissions do I need?
You need an Exist account that supports the connection you intend to use, and the account holder must approve access through OAuth sign-in. Requirements can change, so we confirm the current access needed for your setup during the free automation audit.