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Helps UK small business owners decide where AI fits: what to automate first, data checks, payback.

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Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
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5 tools
assess_automation_opportunitiesFind what to automate first
Read-onlyIdempotent
Inspect

Works out what a small business should automate first, from how it runs today, instead of a generic list of AI tools. Use when an owner asks how AI can help their business, where to start, what is worth it versus hype, or how to get good people off admin. Map what the owner has said onto the options and leave out anything they have not said. Returns the best-fitting approaches with the reasons, what to check first, a small first step, and the questions still worth asking.

ParametersJSON Schema
NameRequiredDescriptionDefault
sectorNoThe firm's sector. plumbing-electrical-and-other-trades = plumbers, electricians, heating engineers, window fitters and other trades working on customers' jobs; construction = contractors and construction groups bidding for projects; property = estate and letting agents; wealth-management = financial planners and IFAs. Use other if none fits.
outputsNoWhat goes out to your clients? Options: documents = "Reports, proposals and quotes"; answers = "Answers by email, chat and phone"; jobs = "Job sheets and site records"; internal = "Not much leaves the building".
volumesNoRoughly how many a month? Options: few = "Fewer than 20"; some = "20 to 100"; many = "100 to 500"; lots = "More than 500".
retypingNoWhere does information get retyped? Options: systems = "Between two systems"; paper = "Off paper and photos"; inbox = "Out of the inbox"; none = "Nowhere obvious".
softwareNoWhat do you run on? Options: mainstream = "Microsoft or Google, plus a CRM"; industry = "An industry system and spreadsheets"; spreadsheets = "Spreadsheets and email"; bespoke = "Something built for us".
teamSizeNoNumber of people in the firm.
producersNoWho produces them? Options: founder = "Me, mostly"; professionals = "Fee-earners, each doing their own"; admin = "An admin or operations team"; field = "Whoever is on site".
promptingNoWhat made you start looking? Options: answering = "We answer the same questions daily"; admin = "Good people are doing admin"; field = "Site work comes back on paper"; unsure = "Nobody here knows where AI fits"; specific = "No product does this one job".
check_ai_data_protectionCheck before client data goes into AI
Read-onlyIdempotent
Inspect

Lists what a UK firm should check before client or staff information goes into an AI tool, under UK GDPR, ordered by what matters most for that tool and that data. Use when an owner asks if they can put client information into ChatGPT, whether ChatGPT or Copilot is GDPR compliant for their business, what to do about staff pasting customer details into AI, or what to ask an AI supplier. Returns questions to ask with the reason for each, not legal advice.

ParametersJSON Schema
NameRequiredDescriptionDefault
dataYesWhat would go in. special_category = health, ethnicity, religion, sexual orientation and similar; criminal_records = criminal offence data such as background checks.
toolYespersonal_account = a personal or free login to a general AI chat tool; business_plan = a business or team plan of one; built_into_software = AI features inside software the firm already uses; specialist_or_custom = a specialist AI supplier or a tool built for the firm.
regulatedNoTrue if the firm is regulated by a professional or financial regulator.
draft_ai_policyDraft an AI policy for a small firm
Read-onlyIdempotent
Inspect

Drafts a one-page AI use policy for a small UK firm: approved tools, what must never be pasted in, human checking, telling clients, and who is responsible. Use when an owner asks whether they need an AI policy, what to put in one, or how to stop staff pasting client details into AI tools. Returns the clauses and the steps to take before adopting it. A starting draft, not legal advice.

ParametersJSON Schema
NameRequiredDescriptionDefault
dataYesWhat information staff might put into AI tools. Use no_personal_data if none.
usesYesWhat staff use or will use AI for. drafting_and_research; client_communication = drafting emails or letters to clients; meeting_notes = recording or transcribing meetings; decisions_about_people = screening candidates, assessing clients or staff.
teamSizeNoNumber of people in the firm.
regulatedNoTrue if the firm is regulated by a professional or financial regulator.
estimate_automation_paybackWill automating it pay for itself?
Read-onlyIdempotent
Inspect

Works out whether automating a task pays for itself, from the owner's own hours, headcount, hourly cost and supplier quote, with every assumption stated and time for checking the output deducted. Use when an owner asks if an AI tool or automation is worth the money, how long it takes to pay back, or how to estimate the return before committing. Ask the owner for the numbers rather than guessing them.

ParametersJSON Schema
NameRequiredDescriptionDefault
peopleYesHow many people do the task.
setupCostNoOne-off setup cost in pounds, including the team's time to learn it.
hourlyCostYesWhat an hour of those people's time costs the firm, in pounds.
monthlyToolCostNoThe supplier's monthly price in pounds, from the owner's own quote.
automatableShareYesHow much of the task could a tool do? small = a quarter; about_half; most = around 70%. If unsure, use small.
hoursPerWeekPerPersonYesHours a week one person spends on the task.
get_sector_playbookWhat AI does in your sector
Read-onlyIdempotent
Inspect

Describes how a specific type of UK firm uses AI: what gets drafted, chased or checked, what to look for in a tool, and the questions firms in that sector ask. Use when an owner or partner in accountancy, recruitment, a law firm, financial planning, insurance broking, an estate or letting agency, construction or a trade such as plumbing or electrical work asks how firms like theirs use AI. Use other for any other small business.

ParametersJSON Schema
NameRequiredDescriptionDefault
sectorYesThe firm's sector. plumbing-electrical-and-other-trades = plumbers, electricians, heating engineers, window fitters and other trades working on customers' jobs; construction = contractors and construction groups bidding for projects; property = estate and letting agents; wealth-management = financial planners and IFAs. Use other if none fits.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 5 tool updates
    • First observedassess_automation_opportunities
    • First observedcheck_ai_data_protection
    • First observeddraft_ai_policy
    • First observedestimate_automation_payback
    • First observedget_sector_playbook

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