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8 days ago
glama

geizhals-mcp

An MCP server that lets an LLM search Geizhals, a leading German/DACH price-comparison site, for the cheapest offers on new products.

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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: GH_PROXY_PASSWORD
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.
configGH_MAX_CONCURRENT2 Concurrent browser contexts / scrapes
configGH_CHALLENGE_TIMEOUT_MS25000 How long to wait for Cloudflare to clear
configGH_MAX_ATTEMPTS
configGH_HEADLESS0 1 runs headless (local dev without a display)
configGH_PROXY(none) Egress proxy URL, e.g. http://10.0.0.5:8888 — see below
configGH_PROXY_USERNAME/ GH_PROXY_PASSWORD (none) Optional proxy auth
🔐 secretGH_PROXY_PASSWORDGH_PROXY_USERNAME / (none) Optional proxy auth
configGH_MAX_RESULTS40 Hard cap on products returned by a search
configGH_MAX_BATCH_SIZE10 Cap on ids per get_products_batch call
configLOG_LEVELINFO Python log level
configMCP_TRANSPORThttp http (streamable HTTP) or stdio
configMCP_HOST0.0.0.0 Bind address
configMCP_PORT8000 Bind port
configMCP_PATH/mcp MCP endpoint path
// 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 4 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/jnslmk-geizhals-mcp-9zhsm3)](https://m8ven.ai/mcp/jnslmk-geizhals-mcp-9zhsm3)
commit: 02cf67c1679a46322a05dd53fa40965be78ed169
code hash: e02d24857dfa3b80faef52b516fcc4305ab85d2eb7ae3c59f55a8e788fae64a4
verified: 7/23/2026, 9:16:55 AM
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