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19 days ago
glama

ZSXQ Fetcher

Enables AI assistants to read and manipulate ZSXQ (知识星球) content via MCP, allowing listing groups, searching posts, downloading and summarizing content through natural language.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: ZSXQ_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretZSXQ_TOKEN
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/leonardleelbq-jpg-zsxq-fetcher-8zirh0)](https://m8ven.ai/mcp/leonardleelbq-jpg-zsxq-fetcher-8zirh0)
commit: a770aca6c0c3a171cfa22d18004afe522fdc6b77
code hash: a1584173f9d6c0fa2a8f2476c456949666f62f9f8553dedc245dba066c96e5f3
verified: 7/12/2026, 8:30:33 AM
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