
ReadGZH
A converter that turns WeChat official account articles into AI-readable text and Markdown

Tool details
ReadGZH is an online service that converts WeChat official account articles into AI-readable formats. WeChat official accounts tightly restrict external requests — ChatGPT, Claude, and DeepSeek requesting mp.weixin.qq.com directly often can't get the article body — so it fetches and cleans via a server-side proxy, outputting pure text with zero JS dependencies, built for researchers and developers who need to feed official account long-forms to AI.
Core capabilities
- MCP Server: built-in remote MCP with 5 tools (read/list/search, etc.), letting agents fetch article bodies with zero installation
- REST API: GET /rd?url=<article link> returns the body directly, with format=text for Markdown and part=N chunking
- Server-side cleaning: strips inline style/class/data-* attributes, removes WeChat-private tags, and collapses empty tags, outputting clean SSR HTML
- Shared cache: cache hits read at 0 credits, with long articles auto-chunked at roughly 40KB
- Image proxy: forwards WeChat images through a CDN, easing expired original-image links
- AI summaries: Pro users can generate structured summaries with mode=summary
Use cases Feeding official account long-forms to ChatGPT/Claude/DeepSeek for summarization, translation, and comparison; developers building "WeChat article → Markdown" data pipelines for agents/RAG; enterprises needing shared quotas and invoices for content analysis.
Unique advantages Where Jina Reader frequently returns 403 on WeChat official accounts, ReadGZH specializes vertically in anti-scraping penetration; versus open-source solutions requiring local deployment, it is cloud-hosted, zero-install infrastructure with shared caching and image proxying.
Editorial verdict Both the API and MCP tested live in this review; the free 30 credits daily is a friendly threshold and Lite starts at ¥9/month — few one-stop alternatives exist for this "WeChat content → AI" need. Caveats: the operator is an anonymous indie developer with no company entity or ICP filing; the public "article library" indexing others' articles raises copyright disputes (the site offers a takedown channel and disclaimers); key metrics are self-reported with no third-party reviews. Respect original authors' copyrights and don't process private content.
Pricing
FreemiumFreeManually claim 30 credits daily; cached reads are free
300 credits/mo, usage dashboard, cache reads free
2,000 credits/mo, AI summaries and a priority fetch queue
500 credits each, valid 30 days from purchase
Team-shared credit pools (3,000-40,000 credits/mo), invoicing and corporate payment supported
Additional notes
The first fetch of an article costs 3 credits; shared-cache hits cost no credits; anonymous use gets 10 credits per IP per day; a 14-day self-service refund is offered
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