Ashley Payne, technical co-founder and fractional CTO
uk.co.ashleypayne/ashley-payne · v1.0.1
Ask a UK fractional CTO's practice directly: services, prices, articles, and whether he fits.
MCPremoteno credentialsWeb search & scrapingNews
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 12 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 100/100
What it does: 12 tools · 12 read, 0 write · Web search & scraping
Test call list_work: worked (994 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://www.ashleypayne.co.uk/mcpTools
12 tools listed at last check
get_overviewPositioning, background and what makes him different from other fractional CTOs. Start here.assess_fitCompares a description of a project, business or problem against a fixed published rule and returns a verdict: good_fit, mixed, poor_fit or insufficient_information. Wording alone never produces poor_fit. Where the text touches one of the things Ashley turns down, the result lists questions in ask_tget_servicesThe three ways an engagement runs (Build, Partner, Consult), the fixed-price diagnostic most engagements start with, how the process works, and which client surfaces he builds: desktop applications, browser extensions, chat-platform integrations and web. Use this for any question about platforms, aplist_workSummaries of the selected work, with the slug needed for get_case_study.get_case_studyFull detail for one engagement: the situation, what was built, the engineering decisions and why they were made, the stack, and where there is one, the commercial outcome in indexed figures.get_ai_capabilityWhich AI techniques he has built in production (prompting, retrieval, fine-tuning, MCP servers, local inference) and when each one is the right choice. Use this for questions about AI, automation or data privacy.search_insightsSearch his articles on technical leadership, fractional CTO work, AI and building SaaS. Returns titles, summaries and the matching passage. Call get_insight with a slug for the full text of one.get_insightThe complete text of one article, by slug. Use after search_insights, and only when the summary is not enough to answer the question.get_faqsThe questions buyers ask, with his answers. Pass a query to get the relevant ones; omit it to list every question without the answers.get_contactHow to reach Ashley: email, the contact page, and a booking link when one is live. Use when the person wants to make contact.get_evidenceWhere the numbers on the site come from, for when someone asks whether they can be trusted. Returns one statement of provenance: the figures are counts from live systems, self-reported with a stated method and not independently audited, and Ashley will run any of them in front of someone who asks. Pget_privacyWhat this connector and the website do with data, and what they do not. Use this if the person asks about privacy, tracking, cookies, GDPR, or what Ashley can see of this conversation.
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