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Ashley Payne MCP Server

by ashallsuk.co.ashleypayne/ashley-paynev1.0.1

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

0remoteofficial registry

context tax

~1,230 tok/turn12 tools

security

pending

cold start

hosted

freshness

pending

Our reading of Ashley Payne, from the data

Ashley Payne is an MCP server from ashalls, listed in the official MCP Registry.

Its 12 tools add about 1,230 tokens to every model turn (measured 2026-10-19).

It runs as a hosted endpoint, so there is nothing to install.

Install Ashley Payne MCP server

Install in Claude Code

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

Remote endpoints

  • streamable-httphttps://www.ashleypayne.co.uk/mcp

Context tax

Connecting this server adds ~1,230 tokens of tool definitions to every model turn (moderate, 12 tools). Measured 2026-10-19 via its hosted endpoint; o200k tokenizer, worst case for clients that load all tools up front. How we measure

ModelPer 1,000 turnsWith prompt caching
Claude Opus 5.5$4.92$0.246
Claude Sonnet 5.5$2.46$0.246
Claude Haiku 5.5$0.123—

Input prices as of 2026-10-06. Excludes your own prompt and output.

Tools (12)

  • assess_fit327 tok

    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_these_then_call_again, and the three named fields take the person's own answers on a later call. poor_fit needs an explicit yes in one of those fields; good_fit needs an explicit no in all three. Having a development team is not the same as wanting Ashley to supply one.

  • get_evidence101 tok

    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. Per-figure detail (the collections, queries and returned values) is not published.

  • get_case_study93 tok

    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_services88 tok

    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, apps, pricing or how an engagement is structured.

  • search_insights83 tok

    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.

  • get_faqs81 tok

    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_insight76 tok

    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_ai_capability71 tok

    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_privacy65 tok

    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_contact53 tok

    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_overview43 tok

    Positioning, background and what makes him different from other fractional CTOs. Start here.

  • list_work41 tok

    Summaries of the selected work, with the slug needed for get_case_study.

Freshness

Not enough public signals yet to judge maintenance.

  1. Last commit (default branch)

    2026-10-14 · 4d ago · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    2026-10-14 · 4d ago · official registry · v1.0.1

FAQ

›How do I install the Ashley Payne MCP server in Claude Code?

Run: claude mcp add --transport http ashley-payne https://www.ashleypayne.co.uk/mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does Ashley Payne require an API key?

No required environment variables are declared in its published metadata.

›Can I use Ashley Payne as a remote (hosted) MCP server?

Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.

›Is Ashley Payne in the official MCP registry?

Yes, as uk.co.ashleypayne/ashley-payne.

›How many tokens does Ashley Payne add to my context?

Its tool definitions total about 1,230 tokens, resent on every turn.

Sources and method

Official MCP Registry entry
updated 2026-10-14
GitHub repository
fetched 2026-10-19
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.