43
/ 100
1 month ago
glama

tokentoll

Scan codebases for LLM API calls and estimate monthly costs. Compare costs between git refs to catch cost regressions during code review.

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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: GROQ_API_KEY
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.
🔐 secretGROQ_API_KEY
configMAX_TOKENS
configMODEL2
configOPENAI_MODEL
// 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 1 concrete improvement 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/jwrede-tokentoll-16v4j5)](https://m8ven.ai/mcp/jwrede-tokentoll-16v4j5)
commit: 3a366c29896b470201bf706e0a77e6520dbe5b93
code hash: 22c6aea68e6e12c8f101ff596717b086027ee07ac48c439626d8a470d23a8905
verified: 6/11/2026, 11:15:09 AM
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