MCP server

Ashley Payne, technical co-founder and fractional CTO Official

uk.co.ashleypayne/ashley-payne

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Ask a UK fractional CTO's practice directly: services, prices, articles, and whether he fits.

Website Source

At a glance

Type

MCP server

Publisher

ashleypayne.co.uk (verified by the MCP Registry)

Status

Working at last check

Tools

12

Token cost

About 1,493 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ashley-payne https://www.ashleypayne.co.uk/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ashley-payne]
url = "https://www.ashleypayne.co.uk/mcp"

Gemini CLI

{"mcpServers":{"ashley-payne":{"httpUrl":"https://www.ashleypayne.co.uk/mcp"}}}

Cursor

{"mcpServers":{"ashley-payne":{"url":"https://www.ashleypayne.co.uk/mcp"}}}

VS Code

{"servers":{"ashley-payne":{"type":"http","url":"https://www.ashleypayne.co.uk/mcp"}}}

Antigravity

agy mcp add ashley-payne https://www.ashleypayne.co.uk/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ashley-payne","server_url":"https://www.ashleypayne.co.uk/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ashley-payne","server_url":"https://www.ashleypayne.co.uk/mcp"}

Tools

• assess_fit ~415 tokens
  Compares 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_t
• get_ai_capability ~96 tokens
  Which 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.
• get_case_study ~122 tokens
  Full 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_contact ~70 tokens
  How to reach Ashley: email, the contact page, and a booking link when one is live. Use when the person wants to make contact.
• get_evidence ~143 tokens
  Where 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. P
• get_faqs ~97 tokens
  The questions buyers ask, with his answers. Pass a query to get the relevant ones; omit it to list every question without the answers.
• get_insight ~100 tokens
  The complete text of one article, by slug. Use after search_insights, and only when the summary is not enough to answer the question.
• get_overview ~60 tokens
  Positioning, background and what makes him different from other fractional CTOs. Start here.
• get_privacy ~86 tokens
  What 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.
• get_services ~133 tokens
  The 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, ap
• list_work ~54 tokens
  Summaries of the selected work, with the slug needed for get_case_study.
• search_insights ~117 tokens
  Search 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.

Browse

• Email
• Booking and scheduling

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