Catherine Ives-Yim: writing and assessments
io.github.catherine-development/ives-yim · v1.0.0
Read-only search of Catherine Ives-Yim's writing on AI, IoT and the CRA, and scoring of four checks.
MCPremoteno credentialsNewsWeb search & scraping
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 92/100
What it does: 6 tools · 5 read, 0 write · Web search & scraping
Test call list_articles: worked (2,084 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +7
- Read/write annotations: 0
- 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://ianuydptehkpowxqfivq.supabase.co/functions/v1/mcpTools
6 tools listed at last check
list_articlesCatherine Ives-Yim's published articles (slug, title, standfirst, theme, publication label, address, length), optionally filtered by theme or a word in the title. Free to call; no model involved.list_themesThe themes the articles are grouped under, with counts.get_articleThe full text of an article or site page by slug, with citation and source labels. About describes stated experience; Services describes the offering; articles describe published views. None is independent verification. Cite the address.search_articlesKeyword search over the bundled writing and site pages. Accepts questions or keywords, excludes further-reading sections, and returns a best passage per source before additional passages. Includes citation and source labels. Read get_article before making broader claims. No model is involved; this ilist_assessmentsThe free questionnaire tools on the site and, for one of them, its full question set: modules, questions, answer anchors or options, and the conditions under which a question applies. Use this to put the questions to a user before calling score_assessment.score_assessmentRuns the same deterministic rules engine the website uses for one of the assessments and returns the headline, module scores, flags and the plan. No model is involved: the result is computed from published rules, exactly as a visitor to the site would get. Answers: scale questions take 0 to 3 (worst
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