10
/ 100
1 month ago
pulsemcp
Read Images
Integrates with OpenRouter's vision models to enable image analysis and content extraction through natural language queries.
Is this your MCP?
Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.
Install from
M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.
// key findings
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
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: OPENROUTER_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies2 high
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
node-fetch forwards secure headers to untrusted sites
sharp vulnerability in libwebp dependency CVE-2023-4863
Depend on this server? Get alerted when its CVEs change.Watch this server free →
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.🔐 secret
OPENROUTER_API_KEY— "": "your-api-key-here",// 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 2 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/catalystneuro-mcp-read-images-sn9jw6)commit: 144181b464be61a45ef8e576465c38592bf607c8
code hash: db6a319b1768dc8ed7a7c7cba833532e2b0e65871eb6ceb5952d582b6f53875b
verified: 6/16/2026, 12:31:31 PM