xJogger

xJogger / weread-mcp-worker

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Single-user WeRead MCP server for ChatGPT on Cloudflare Workers

10
0
85% credibility
Found May 17, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This project lets you connect your WeRead (微信读书) reading account to ChatGPT so you can chat about your books, notes, highlights, and reading statistics. You deploy a small web service to Cloudflare, visit a secure setup page to enter your credentials, and get a special encrypted link. Paste that link into ChatGPT, and suddenly you can ask questions like 'Show me my bookshelf' or 'What highlights did I make in this book?' - all through natural conversation. The project is read-only, meaning it can only read your data, not change anything. Your WeRead API key is encrypted and never stored in plain text.

How It Works

1
🔍 Discover the project

You find this tool online and learn it can bring your WeRead reading data into ChatGPT conversations.

2
🚀 Deploy to Cloudflare

You run a simple installation script that sets everything up on Cloudflare's servers automatically.

3
🔐 Visit the setup page

You open your personal setup page, enter your password and WeRead account credentials.

4
🔗 Get your secure link

The system generates a special encrypted link that contains your credentials safely encoded.

5
🤖 Connect to ChatGPT

You paste this link into ChatGPT's settings to enable the reading integration.

6
💬 Ask about your books

Now you can chat with ChatGPT about your reading - your bookshelf, notes, highlights, and statistics.

📚 Enjoy your reading insights

You can now explore all your WeRead data through natural conversation with ChatGPT.

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AI-Generated Review

What is weread-mcp-worker?

weread-mcp-worker is a bridge that connects WeRead (微信读书) to ChatGPT through the MCP protocol. You deploy it to Cloudflare Workers, enter your WeRead API key through a setup page, and get a secure URL that embeds an encrypted token. Plug that URL into ChatGPT's Developer Mode MCP connector, and suddenly ChatGPT can query your bookshelf, reading progress, highlights, notes, reviews, and reading statistics. Everything is read-only by design. The project is written in TypeScript and uses the official WeRead Agent API Gateway.

Why is it gaining traction?

Most reading tracker integrations require you to hand over credentials or store them in databases. This takes a different approach: your API key never touches a database, never appears in config files, and never gets committed to Git. It gets encrypted into the URL path itself, and only you know the encryption secret. The single-user design keeps the attack surface minimal. The project also provides a one-line install script that handles the entire Cloudflare deployment flow, which removes the usual friction of setting up Workers manually.

Who should use this?

WeRead power users who want to query their reading history and notes through natural conversation. If you annotate heavily, track reading goals, or maintain a large bookshelf and wish you could ask ChatGPT things like "what books did I read most this quarter?" or "summarize my highlights from this book," this fills that gap. It is not a multi-user solution and does not support writing or modifying data.

Verdict

weread-mcp-worker solves a real privacy puzzle for WeRead users who want AI access to their data without credential sprawl. The documentation is thorough and the security model is clearly explained. At roughly 10 stars, it is early-stage and unproven at scale, so the 0.85% credibility score reflects that freshness. If you are comfortable with Cloudflare Workers and want read-only WeRead insights in ChatGPT, this is worth a try.

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