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Revenueos

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Self-hosted revenue department: find opportunities, execute approved work, measure results.

Quick Install

Automated & IDE Setup

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

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for revenueos, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

RevenueOS β€” connect once, everything runs free, pay when you agree with the result

RevenueOS

A revenue department for one business. It reads your website, ads, leads and mailbox, turns what it finds into a short list of actions, does the ones you approve, and measures what changed.

Connect once. Everything runs free. Pay when you agree with the result.

Free forever to run by hand, including the web panel. Running continuously on a schedule is $99/month, and only after it has measured a result you agreed with, plus 14 days.

Start Pro Β· Pricing Β· Talk to a human (or email hello@revenueos.com.au)

PyPI version CI status Licence MIT Python 3.12+

Runtime proof Β· Architecture Β· Security & approval Β· Integrations Β· Community vs Hosted Β· Capabilities


What it does

  1. Connect once. Give it your website. It fills in the rest and labels every guess.
  2. Discover. It reads the site, the ad exports or ad accounts, the lead lists and the mailbox, and writes what it finds as actions.
  3. Approve. Nothing changes until you approve an action.
  4. Execute. It deploys the site fix, pauses the wasting campaign, sends the email, books the call, raises the invoice, publishes the post.
  5. Measure. It re-reads the live account and records before β†’ after next to the action.
  6. Pay. Nothing is charged until it has measured a result you agreed with.

Try it on your site in one command

bash
uvx revenueos demo https://yoursite.com     # nothing to install; or: pip install revenueos && revenueos demo …

No account, and nothing is kept: the demo builds a workspace in a temporary directory and deletes it before it exits. It is not offline, though. The pages it reads go to whichever model you have configured, and only --no-llm keeps the run entirely local. Here is the whole output on a neutral domain, verbatim:

Code
RevenueOS demo β€” Example Domain (https://example.com)

  1 pages crawled Β· ad/analytics tags: none Β· booking link: no Β· phones: none seen

  1. MISSING DESCRIPTION β€” https://example.com
     Page has no meta description.
     β†’ RevenueOS writes the fix as a deliverable you approve, then re-checks the page.
  2. THIN PAGE β€” https://example.com
     Only ~127 characters of body text were extracted.
     β†’ RevenueOS writes the fix as a deliverable you approve, then re-checks the page.
  3. NO SITEMAP β€” https://example.com
     No sitemap.xml was discovered at the host root or under the site path.
     β†’ RevenueOS writes the fix as a deliverable you approve, then re-checks the page.
  4. NO CANONICAL β€” https://example.com
     The homepage declares no canonical URL.
     β†’ RevenueOS deploys this fix itself once the site is connected (git or WordPress), then re-checks it.

  4 finding(s). Everything above runs free, every day, once connected:
     pip install revenueos && revenueos init --from https://example.com && revenueos serve
  You pay only when you agree with a measured result.

On a real business the same command also reads the homepage for tappable phone numbers, LocalBusiness schema, booking links and ad tags (Meta Pixel, Google Ads, GA4).

To run it from CI instead, add one step and read the job summary:

yaml
- uses: unempyd/revenueos@main
  with:
    url: https://yoursite.com

Connect once

bash
revenueos init --from https://yoursite.com   # the site fills the questionnaire; every inference is labelled
revenueos serve                              # TODAY / RESULTS / Connections / Spend on http://127.0.0.1:8791

A connection is an account you authorise once: Stripe, Google (Search Console, GA4, Calendar, Ads), Meta Ads, a git-hosted site, WordPress. Every connection is read-only until you turn on allow changes for it, and every change still waits for your approval on TODAY. See docs/integrations.md.

How it works

Accounts you connect once feed workers that only read; workers write actions to the store; the CLI, control panel and MCP present them; your approval is the only door to the executors, the only things that write back to your accounts, and measure re-reads the live account

Four rules hold that picture together, each enforced in code and covered by tests:

  • Workers never send, publish or spend. They only write actions.
  • Only an approved action reaches an executor, and an executor that changes a connected account also needs that connection's allow changes switch. It refuses in a plain sentence otherwise.
  • An outcome is pending until there is evidence, measured or no_effect from evidence, and unmeasurable with a note saying what would measure it. No metric is ever synthesised.
  • A deliverable that was produced but not published is reported as produced, never as a win.

The longer version is in docs/architecture.md.

What the customer sees

A real run of the control panel: Connect, Discover, Analyse and Measure light up as the checks complete, Approve and Execute stay dark, and the log ends: Done β€” 1 new opportunity waiting for your decision

RevenueOS TODAY: opportunities found for the connected business, each with Approve, Execute and Ignore

The run above and the brief below are from a live run against a real company's public web presence, read-only, with no email sent to anyone. Nothing in them is mocked.

Workers

WorkerDiscoversExecutes (after approval)Measures
seocrawl defects, authority gap, indexing surfacethe matching SEO skill, or site_deploy when the site is connectedre-crawl: fixed or not
ads-auditwaste, over-pacing and concentration in ad exports; search terms that spend, convert nothing and are not excluded; then the full control audit (414 controls across 12 platforms, 97 Google and 72 Meta) under the upstream runtime contract, pass or fail only with evidencethe matching ads skillnext export delta; the next search-term read; a failing control re-checked by the next audit
ads-livethe same on connected Google Ads and Meta accounts, with keywords, quality scores, search terms and negative-keyword listsads_pause, ads_budgetnext spend read
analyticsSearch Console queries losing clicks, GA4 channel resultsthe title and description skillnext Search Console read
billingStripe revenue, MRR, customers, open invoices, paying subscriptionssend_invoiceStripe paid status
discoverprospects from lead lists or an external prospecting service, through the qualification gate (business email, business website, real company name; reported as found Β· contactable Β· qualified)nonevia outreach
outreachfirst-touch drafts from your business canon, re-verified against the live page before sendingsends, under a daily cap, a suppression list and an unsubscribe footerreplies, booked, pipeline value
inboxreplies, bounces and STOP requests on your mailboxnonefeeds outreach outcomes
intakeyour own documents, dropped into data/inbox/documents/: PDF, Word, Excel, PowerPoint, CSV and RTF read entirely on your machine, tables kept as rows; with a model, where a document contradicts or fills a gap in your business canonrecords the proposed correction in learning-loop/CORRECTIONS.md, which every worker prompt then reads β€” company-context/ is never edited by a workernone directly: a canon correction shows up in the work it changes, and is recorded as unmeasurable with that note
contentcontent work matched to your channels; a short video brief when one of your channels is a video channelthe deliverable, then publish_post to WordPress after a second approval; render_video renders the approved brief to MP4/WebM in data/outputs/published 0 β†’ 1 on the live URL; a rendered video is produced (not published)
monitorHacker News threads that pass a default-reject relevance gatenonenone
growthexternal adoption numbers for your own surfaces: GitHub traffic, PyPI downloads, site reachabilitynonerecorded as metrics with a delta
heartbeatthe state of your objective: what is pending, approved but not run, measured, failed or blockednonewrites one dated event per run
measurenonenonerecords every outcome above

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Revenueos

We don't have a confirmed install command for revenueos yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/unempyd/revenueos) for the current steps.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” 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 β€” 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.

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