Dotplot MCP server
io.github.brownglasses/dotplot-mcp·v0.1.4·1 starsProduct analytics for user flows: aha moments, retention, funnels, per-user dot plots. YC method.
1 stars26 downloads/wk
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Dotplot tools (16, 3 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
analyzeSTART HERE. Event data in, finished report out, one call.
audit_trackingCheck what the code logs, and — if there is data — whether it arrives.
classify_usersSort users by behaviour: churned (used once, never returned), weekend_only, regular (almost daily), casual.
compare_benchmarkCompare your numbers with percentiles from teams at the same industry and stage.
describe_eventsShape of an event CSV: date range, user count, events by type.
dot_plotText dot plot: one row per user, one cell per day.
find_aha_momentsScan every action for the one that turns users into regulars.
find_similar_casesFind companies that hit the same problem and what they changed.
generate_reportwrite actionWrite the HTML dot plot report — readable in three seconds, made to share with a team or an investor.
get_report_stringsEvery sentence the report can contain, in English, for translation.
history_compareCompare today's numbers with the last analysis of the same data.
load_from_dbPull events out of the project's database into a CSV.
onboarding_funnelOnboarding funnel: signup -> first value -> came back -> still active.
publish_reportwrite actionHost the report and return a shareable link.
retention_curveWeekly retention: share of users with a value event in week N.
submit_benchmarkwrite actionSubmit five aggregate numbers to the anonymous benchmark. Opt-in.
Public scan report
scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it
- Code scan8 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 82 days ago12/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Dotplot compares
Against every graded E-commerce MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 88/100
- higher than 85% of 2,174 E-commerce servers
- Tools
- 16
- the typical E-commerce server has 6
- Tools that change things
- 19%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 1
- more than 65% of 1,047 E-commerce servers
- Downloads a week
- 26
- more than 15% of 411 E-commerce servers with a package
What its tools let an agent do: 13 read · 1 create · 1 change · 1 send or post
Install Dotplot in Claude Code, Cursor or VS Code
claude mcp add dotplot-mcp -- uvx dotplot-mcp
What the publisher says
From the Dotplot repository's README, as published. We do not edit it. Read it on GitHub
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 reportClaude 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 orders
UNION ALL
SELECT user_id, added_at::date, 'add_to_wishlist' FROM wishlist_itemsNothing 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-mcp
uv run sample_data.py # 40 fake users with a pattern planted in them
uv run harness.py # watch the whole pipeline runWhy 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).
More
- What each tool does, and the anonymous benchmark
- How it's built
MIT
<!-- mcp-name: io.github.brownglasses/dotplot-mcp -->
Nothing above is checked by us. What we check is on the safety report.
Dotplot: common questions
- Is Dotplot MCP server safe?
- Yes, by our scan: it is graded A (88/100). Read the Dotplot safety report
- How do I install Dotplot?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Dotplot need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Dotplot maintained?
- The last commit was 82 days ago (2026-08-14). The latest release is v0.1.4.
- What can I use instead of Dotplot?
- Servers from other publishers that do the same job: PostHog MCP Server, DebugBundle MCP server and FlowScope UX Flow Analyser MCP server.
- How does Dotplot compare with other E-commerce MCP servers?
- safety score 88/100 (higher than 85% of 2,174 E-commerce servers); tools 16 (the typical E-commerce server has 6); tools that change things 19% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Dotplot
Same job from other publishers: the closest match first, then the best rated.
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