69
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23 days ago
pulsemcp
AceDataCloud GLM
GLM chat completions from Zhipu AI models through the AceDataCloud API platform.
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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: ACEDATACLOUD_API_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.config
ACEDATACLOUD_API_BASE_URL🔐 secret
ACEDATACLOUD_API_TOKEN— export =your_token_hereconfig
GLM_REQUEST_TIMEOUTconfig
MCP_SERVER_NAMEconfig
MCP_TRANSPORTconfig
LOG_LEVELconfig
MCP_SERVER_URLconfig
ACEDATACLOUD_OAUTH_CLIENT_ID// 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 5 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
[](https://m8ven.ai/mcp/mcp-glm-l55yps)commit: a5fe551ab1145c6fb7a2972607281a6232030755
code hash: 56414980c33a0eb13c920dbf9590d8fb9182b9ff3a45aa1a64603c2e7c88c635
verified: 7/8/2026, 8:39:28 AM