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AyobamiH

One Click for ChatGPT

by AyobamiH

One Click for ChatGPT

One Click converts a small set of task-specific website requirements into a structured handoff for the separately installed Lovable plugin. This repository is intentionally separate from the existing One Click website.

Capability boundary

  • Current release: no-account, ephemeral Basic Mode website handoff.

  • One Click tool: prepares the brief only. It does not create, publish or deploy a website and it does not persist the business brief.

  • Lovable: a separate external write path used only after the user authorises project creation.

  • Later release: authenticated saved projects and Full Mode remain outside the exposed tool catalogue until reviewed independently.

Related MCP server: @metricspot/mcp-server

MCP

Production endpoint: https://oneclick-chatgpt.woeinvests.workers.dev/mcp

Tool:

  • oneclick_prepare_basic_draft

Required inputs are only industry and primary_goal. Optional inputs are limited to business_name, brand_vibe, headline, call_to_action, layout and services. The API rejects unexpected properties, wrong types, unsupported layouts and oversized requests. It does not accept full conversation history, inferred location, generic catch-all notes or reference-image URLs.

Tool annotations

oneclick_prepare_basic_draft explicitly declares:

  • readOnlyHint: false because a minimal operational analytics event may be appended for each tool invocation.

  • destructiveHint: false because it does not delete or overwrite customer state.

  • openWorldHint: false because it does not browse arbitrary URLs or invoke external services.

Analytics Engine records only tool name, success/error, rounded latency, release version and coarse client family. Application-level analytics deliberately exclude prompt text, business brief content, business names, URLs, project IDs, tokens, IPs, raw headers and stable user identifiers.

Development and release

npm run check
npm run deploy:dry
npm run deploy
npm run smoke:production

Production pushes require CLOUDFLARE_API_TOKEN and CLOUDFLARE_ACCOUNT_ID. The deployment workflow runs the full checks, deploys the Worker and then verifies the live MCP catalogue, annotations, narrowed schema, a valid call and rejection of broad input.

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