Pndr

Pndr is your personal productivity command center, now accessible to AI agents via MCP (Model Context Protocol).

What You Can Do

With Pndr's MCP integration, AI assistants like Claude can:

• - Manage your tasks - Add, edit, complete, and organize ideas with tags and priorities
• Track your habits - Create daily habits and mark them complete automatically
• Journal - Record thoughts and retrieve them with fuzzy search
• Track packages - Monitor deliveries with tracking numbers and carriers
• Manage lists - Create checklists, shopping lists, or any collection of items
• Get insights - View today's focus items, kanban boards, accomplishments, and patterns

All of this happens in your own private Pndr account - the AI just provides a natural language interface to your data.

How It Works

Pndr exposes your personal productivity data through the Model Context Protocol (MCP), allowing AI assistants to interact with your tasks, habits, and journal on your behalf.

Example conversations:

• - "Add a task to call mom tomorrow with high priority"
• "What's on my plate today?"
• "Mark my exercise habit as complete"
• "Show me my accomplishments this week"
• "Add a journal entry about today's meeting"

The AI uses Pndr's MCP tools behind the scenes to read and write your data securely.

Who Is This For?

This integration is perfect if you:

• - Use an AI assistant (Claude, OpenClaw, etc.) and want it to manage your tasks
• Want natural language access to your productivity data
• Like the idea of saying "add this to my todo list" instead of opening an app
• Already use Pndr and want to access it through AI conversations

Prerequisites

• - A Pndr account (sign up at https://pndr.io)
• An AI assistant that supports MCP (like Claude Desktop or OpenClaw)
• For manual setup: mcporter CLI tool

Setup

For OpenClaw Users

OpenClaw can set this up automatically! Just ask your assistant:

"Connect to my Pndr account"

Then provide your Pndr OAuth credentials when prompted.

Manual Setup

1. 1. Get Pndr API credentials:

1. 2. Get an access token:

This returns a JSON response with an access_token. Copy it.

1. 3. Add to your MCP client config:

For mcporter (config/mcporter.json):
CODEBLOCK1

For Claude Desktop (claude_desktop_config.json):
CODEBLOCK2

1. 4. Test the connection:

You should see 47 available tools!

Available Tools

Ideas & Tasks

• - add_idea - Create a new idea/task
• INLINECODE7 - List and filter ideas
• INLINECODE8 - Edit an existing idea
• INLINECODE9 - Mark an idea as completed
• INLINECODE10 - Delete an idea
• INLINECODE11 - Update tags on an idea
• INLINECODE12 - Set work status (not started, in progress, blocked)
• INLINECODE13 - Get kanban board view
• INLINECODE14 - Get today's focus items

Journal & Thoughts

• - add_thought - Record a journal/diary entry
• INLINECODE16 - Retrieve thoughts with fuzzy search
• INLINECODE17 - Delete a thought

Habits

• - add_habit - Create a new daily habit
• INLINECODE19 - List all habits with completion status
• INLINECODE20 - Mark a habit as completed for today
• INLINECODE21 - Undo a habit completion
• INLINECODE22 - Update habit text or resources
• INLINECODE23 - Archive (delete) a habit

Checklists

• - add_checklist_item - Add a checklist item to an idea
• INLINECODE25 - Mark checklist item as completed
• INLINECODE26 - Mark checklist item as not completed
• INLINECODE27 - Get all checklist items for an idea
• INLINECODE28 - Edit checklist item text
• INLINECODE29 - Delete a checklist item

Lists

• - add_list - Create a new list
• INLINECODE31 - Get all lists with optional filtering
• INLINECODE32 - Get a single list with items
• INLINECODE33 - Update list name, description, or tags
• INLINECODE34 - Delete a list and all its items
• INLINECODE35 - Add an item to a list
• INLINECODE36 - Update list item text, notes, or completion
• INLINECODE37 - Toggle list item completion
• INLINECODE38 - Remove an item from a list
• INLINECODE39 - Change item order in a list

Packages

• - add_package - Track a new package delivery
• INLINECODE41 - List tracked packages
• INLINECODE42 - Update package information
• INLINECODE43 - Mark a package as delivered
• INLINECODE44 - Delete a package from tracking

Tags

• - list_tags - List all available tags
• INLINECODE46 - Create a new tag
• INLINECODE47 - Delete a tag

Comments

• - add_comment - Add a comment to an idea
• INLINECODE49 - List comments on an idea
• INLINECODE50 - Delete a comment

Attachments

• - list_attachments - List attachments for an idea
• INLINECODE52 - Get attachment metadata
• INLINECODE53 - Download attachment with base64 data

Analytics

• - get_accomplishments - Get summary of completed tasks and habits
• INLINECODE55 - Analyze patterns in ideas and thoughts over time

Usage Examples

Once connected, you can interact with Pndr naturally through your AI assistant:

Task Management:

• - "Add a high-priority task to finish the presentation by Friday"
• "Show me all my work tasks that are in progress"
• "Mark task [ID] as complete"
• "What should I focus on today?"

Habits:

• - "Did I complete my exercise habit today?"
• "Mark my reading habit as done"
• "What's my current streak for meditation?"

Journaling:

• - "Add a journal entry: Had a breakthrough on the project today"
• "What was I thinking about last week around this topic?"
• "Show me my thoughts from January"

Package Tracking:

• - "Track a package from Amazon, tracking number 1Z999..."
• "What packages am I expecting?"
• "Mark my laptop package as delivered"

Lists:

• - "Create a grocery list"
• "Add milk and eggs to my shopping list"
• "Show me my reading list"

Direct CLI Usage (Advanced)

If you're using mcporter directly:

CODEBLOCK4

Authentication

Pndr uses OAuth 2.0 client credentials flow. Access tokens expire after 1 year (365 days).

To refresh your token, repeat the curl command from step 2 and update your mcporter config with the new Bearer token.

Source Code

Open source at https://github.com/Dgershman/pndr

Pricing

• - Free tier: Read-only access
• Pro ($5/mo or $48/year): Full read/write access

Support

• - Documentation: https://pndr.io/docs
• Issues: https://github.com/Dgershman/pndr/issues