Dotplot MCP

YC's Dot Plot as an MCP server — aha moments, funnels, retention for early-stage founders.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "dotplot-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "dotplot-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Dot Plot MCP

See individual users, not aggregate charts.

English | 한국어

report

Install

Paste this to your agent and it sets everything up:

Code

Set up Dotplot (MCP + skills) — instructions are here https://dotplot-reports.vercel.app/setup.md

Or do it by hand

Terminal

claude mcp add --scope user dotplot -- uvx dotplot-mcp

Use

Say this in any project:

"Analyze my product"

You get the report above. That's it.

Or use the slash commands:

Code

/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:

Dockerfile

SELECT user_id, created_at::date AS date, 'purchase' AS event FROM orders
UNION 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

bash

git clone https://github.com/brownglasses/dotplot-mcp && cd dotplot-mcp
uv 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_app as 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).

MIT

Read the full README →View source on GitHub →

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Frequently Asked Questions about Dotplot MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "dotplot-mcp": { "command": "npx", "args": ["-y", "dotplot-mcp"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Dotplot MCP →Install in Claude Desktop Install in Cursor Install in VS Code

Documentation Overview

Dot Plot MCP

See individual users, not aggregate charts.

English | 한국어

report

Install

Paste this to your agent and it sets everything up:

Code

Set up Dotplot (MCP + skills) — instructions are here https://dotplot-reports.vercel.app/setup.md

Or do it by hand

Terminal

claude mcp add --scope user dotplot -- uvx dotplot-mcp

Use

Say this in any project:

"Analyze my product"

You get the report above. That's it.

Or use the slash commands:

Code

/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:

Dockerfile

SELECT user_id, created_at::date AS date, 'purchase' AS event FROM orders
UNION 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

bash

git clone https://github.com/brownglasses/dotplot-mcp && cd dotplot-mcp
uv 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

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_app as 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).

MIT