Search arXiv papers, download full text, semantic search, citation graphs, and alerts via MCP.
The Revenue AI Report is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Independent weekly on AI in B2B revenue teams: articles, frameworks, skills, playbooks, datasets.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http the-revenue-ai-report-mcp https://www.therevenueaireport.com/mcp
# 2 — ask your agent for something these tools do
# list_resources, search_site, get_resource and 20 more
The Revenue AI Report costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http the-revenue-ai-report-mcp https://www.therevenueaireport.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
23 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Map of every public resource type The Revenue AI Report publishes, how many items each holds, the hub URL, and which tool reads it. Call this to orient before searching.
No parameter schema on file.
Search every public resource on The Revenue AI Report in one call: articles, research themes, frameworks, methodology, skills, prompts, playbooks, datasets, archive issues, the reversal ledger, the AI tool library, and glossary and dictionary definitions. Filters: kind (resource type), category (article or issue pillar, playbook or prompt team, skill task, tool or ledger category, case insensi
No parameter schema on file.
Read the indexed text of any public resource on The Revenue AI Report by its site path or full URL, whatever the type: article, research theme, framework, skill, prompt, playbook, dataset, tool profile, archive issue, ledger row, or definition. Use this when search_site returns a path you want to read in full.
No parameter schema on file.
Get an overview of The Revenue AI Report: its mission, editorial pillars, audience, sponsorship policy and article count.
No parameter schema on file.
List published articles from The Revenue AI Report, newest first. Returns slug, title, summary, pillar, date and reading time.
No parameter schema on file.
Full-text search across The Revenue AI Report articles (titles, summaries, body text, keywords and FAQs). Returns matching articles with a short excerpt.
No parameter schema on file.
Get the full text of one published article from The Revenue AI Report by its slug, including body paragraphs and FAQs.
No parameter schema on file.
List the research themes published by The Revenue AI Report. Each theme is a sourced argument about AI inside B2B revenue teams, with charts, findings, named sources, and sample sizes.
No parameter schema on file.
Read one research theme in full: the opening argument, every chart with its numbers, the findings, the named sources with publisher, sample size, and caveats, and anything still unconfirmed. Cite the source line, not just the chart.
No parameter schema on file.
List the frameworks published by The Revenue AI Report, including the canonical concepts (Proof Gap, Optimization Theater, Reversal Ledger, Eight Seat Read) and the named operating frameworks in the library such as SCALE, OAR, LOPAFT, and the L1 to L6 AI Maturity Ladder.
No parameter schema on file.
Read one framework in full, including its definition, sections, related pages, and FAQs.
No parameter schema on file.
Browse The Revenue AI Report skill library: repeatable AI jobs for revenue teams, each with a ready prompt, a process, decision rules, and limitations. Filter by role, task, or level.
No parameter schema on file.
Read one skill in full, including the copy-ready quick prompt, inputs, process, decision rules, quality checks, limitations, worked example, and the downloadable SKILL.md URL.
No parameter schema on file.
Browse the public prompt library from The Revenue AI Report. Copy-ready AI prompts for revenue teams, filterable by team, category, or keyword. Use get_prompt to read the full prompt text.
No parameter schema on file.
Get the full copy-ready text of one prompt from The Revenue AI Report prompt library, by slug.
No parameter schema on file.
Browse the GTM AI playbook library from The Revenue AI Report. Each playbook is a sequenced workflow with owner, tool, pitfalls, definition of done, and KPIs, mapped to a team and to an L1 to L6 AI maturity level. Filter by team, maturity level, or keyword.
No parameter schema on file.
Read one playbook in full: every step with its owner, tool, pitfalls, and definition of done, plus the KPIs that prove it worked.
No parameter schema on file.
List the open datasets published by The Revenue AI Report, with what each contains, its column schema, and the download URL. Most are free CSV downloads.
No parameter schema on file.
Read one dataset's description, contents, full column schema, method notes, FAQs, and download URL.
No parameter schema on file.
Search The Revenue AI Report AI tool library: go-to-market and revenue AI vendors with category, revenue functions, use cases, adoption effort level, and vendor claims. Ranking runs on name, description, best-for, and use cases; vendor keywords only count on an exact whole-tag match, so a generic word does not pull in unrelated vendors. Filter with category, revenueFunction, maturity (adoption eff
No parameter schema on file.
Get one vendor profile in full from The Revenue AI Report AI tool library, by slug or by name. Returns the directory record plus the depth layer: why the adoption effort level is what it is, owning seat and journey stage, buy checks, published case studies, documented discrepancies between vendor claim and independent reporting, corporate status changes, and any Reversal Ledger record naming this
No parameter schema on file.
Read The Revenue AI Report Reversal Ledger: named companies that pulled back, paused, or reversed an AI deployment, with the vendor, function, seat, dates, disclosed cost, stated reason, and the public source for each record.
No parameter schema on file.
Define a revenue AI term using The Revenue AI Report glossary and plain-language dictionary. Covers Report frameworks, pillars, and measures plus general AI and go-to-market vocabulary.
No parameter schema on file.
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install The Revenue AI Report or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.2.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish The Revenue AI Report can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.