Dotplot MCP
Overview
Description from the maker (original English)
Product analytics for user flows: aha moments, retention, funnels, per-user dot plots. YC method.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 24/wk · ★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Marketing & social media
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- PyPIPython’s uv installed (for the uvx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"dotplot": {
"command": "uvx",
"args": [
"dotplot-mcp"
]
}
}
}Run this in your terminal
claude mcp add dotplot -- uvx dotplot-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dotplot": {
"command": "uvx",
"args": [
"dotplot-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"dotplot": {
"type": "stdio",
"command": "uvx",
"args": [
"dotplot-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account brownglasses, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Marketing & social mediai
- More stars than 0% of the other 3692 servers in this category
- Published to the registry more recently than 23% of the other 3692 servers in this category
- Basic checks equal to or better than 100% of the other 3692 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Dotplot MCP safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 3 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Dot Plot MCP
See individual users, not aggregate charts.
English | 한국어
Install
Paste this to your agent and it sets everything up:
Set up Dotplot (MCP + skills) — instructions are here https://dotplot-reports.vercel.app/setup.mdOr do it by hand
claude mcp add --scope user dotplot -- uvx dotplot-mcpUse
Say this in any project:
"Analyze my product"
You get the report above. That's it.
Or use the slash commands:
/dotplot-analyze-product full analysis and report/dotplot-add-tracking find and write the logging you're missing /dotplot-whats-changed compare with the previous report
Claude finds your data, picks the action that means "this user got value", and writes the report. No events table needed — your orders table already is one:
SELECT user_id, created_at::date AS date, 'purchase' AS event FROM ordersUNION ALL SELECT user_id, added_at::date, 'add_to_wishlist' FROM wishlist_items
Nothing tracked yet? Say "add the tracking I'm missing" and Claude reads your code, writes the logging that's absent, and tells you when to come back.
No product to analyze yet? Try the sample
git clone https://github.com/brownglasses/dotplot-mcp && cd dotplot-mcpuv run sample_data.py # 40 fake users with a pattern planted in them uv run harness.py # watch the whole pipeline run
Why this exists
DAU/MAU charts go "up and to the right" as long as new users arrive — even when nobody stays. Until you have hundreds of users, the most informative dashboard is YC's dot plot (David Lieb): one row per user, one cell per day.
Four rules keep it honest:
- Code computes, AI only interprets — same data, same numbers, every time
- Small samples withhold judgment — under 5 users in a group, it says nothing
- Correlation isn't cause — every finding ships with "test this before you believe it"
- Vanity metrics are refused — pick
open_appas your value event and the code says no
Reports come out in your language (English, 한국어, 日本語 built in; anything else translated on the fly with the numbers verified intact).
More
- What each tool does, and the anonymous benchmark
- How it's built
MIT