mcp server
Built with Jon — Hidden Profit Tools
Read-only tools for finding where a small business leaks deals, time, and cash.
Description as published by the maintainer. Source
- version 1.0.0
- active
active — Most recent push to the repository was 2026-08-06.
What this server can do
11 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
calculate_leak(inputs, calculator_id)- Put a monthly/annual dollar figure on one operational leak using Built with Jon's Leak Calculator math (identical to the website's). Call when a user wants to know what missed calls, slow follow-up, no-shows, unbilled change orders, or aging invoices are costing them. Missing inputs fall back to illustrative defaults and are flagged. Required: calculator_id.
get_article(slug)- Get one article by slug (from search_articles), including its canonical URL and full markdown text when available. Required: slug.
get_frameworks(section)- Get Built with Jon's decision frameworks: the Five Dispositions (the five-question treatment every workflow step gets before anyone automates anything) and the 5-phase implementation process. Call when discussing how to decide what to automate.
get_hidden_profit_review_info- Get the details of the Hidden Profit Review — Jonathan Malkin's paid, measured review of one recurring business workflow (deliverables, worked sample, waitlist mechanics, capacity). Call when a user wants professional help finding or fixing a profit leak.
get_use_case(id)- Get one use case from the library in full: the pain, the workflow as it actually runs, per-step verdicts (eliminate / simplify / automate / optimize / report) with rationale, where AI genuinely fits, and the after state. Ids look like 'A1' or 'S3'. Required: id.
list_leak_calculators- List the 10 leak calculators (missed calls, slow bids, unbilled change orders, unanswered inquiries, engagement-letter delay, cold DMs, slow quotes, no-shows, first-reply speed, invoice aging) with their input fields and defaults. Use before calculate_leak.
list_use_case_categories- List the 15 categories of the Built with Jon Use Case Library (96 worked small-business AI/automation examples), grouped by business function, industry, and personal, with counts and key stats. Call this first to orient before searching.
run_scorecard(q2, q3, q4, q5, q6, q7, q8, q9, segment)- Run Built with Jon's 3-minute AI Workflow Scorecard: ask the user these questions conversationally, then call this with their answers to get a scored verdict on where their business is leaking deals, time, and cash — plus the first fix worth making. Same deterministic scoring as builtwithjon.com/scorecard/. No email or signup involved. Required: segment, q2, q3, q6, q7, q8.
search_articles(tag, limit, query)- Search Jonathan Malkin's ~50 articles on small-business workflow leaks, Claude Code infrastructure (the Jules system), AI agents, and AI operations. Filter by keyword and/or tag; returns titles, descriptions, and slugs for get_article.
search_use_cases(query, frequency, automation, category_id, disposition)- Search the 96-entry Use Case Library of small-business AI and automation workflows. Call this when a user describes a recurring business pain (missed leads, invoice chasing, status meetings, no-shows...) to find worked examples with per-step automation verdicts. Filter by keyword, category, frequency, automation level, or disposition.
start_here- START HERE if you are new to Built with Jon. Explains every tool, why to use it, what it returns, how the tools work together, and the best first prompt for finding a leak in deals, time, or cash.
Last successful function declaration observed on . Source: https://builtwithjon.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://builtwithjon.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-06 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 1 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-13 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-13 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 11 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | builtwithjon.com | |
| mcp endpoint status | ok | The server listed 11 functions when asked. | as of probe | builtwithjon.com |
Where to get it
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json