43
/ 100
1 day ago
glama
Recommend Agentic Trust Layer
Enables agents to verify claims with evidence-based truth scores and confidence levels by running a deterministic pipeline of evidence lanes and adversarial checks.
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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: GEMINI_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.config
GEMINI_MODEL🔐 secret
GEMINI_API_KEY— cp .env.example .env # add + EXA_API_KEY — that's the minimumconfig
GOOGLE_APPLICATION_CREDENTIALSconfig
GOOGLE_CLOUD_PROJECTconfig
GEMINI_LOCATIONconfig
PORTconfig
DEEP_ENGINE— Deep Research deep=1 1.35 Exa per sub-claim (~7s); =parallel → Parallel.ai (~70s, better citations) EXA_API_KEY / PARALLEL_API_KEYconfig
TRACK_EVERY_H— (, default 24h), so you can watch a claim's score move as the evidence does.config
PER_IP_DAY— (=25, GLOBAL_DAY=400) — tune them in .env before putting an instance on aconfig
GLOBAL_DAY— (PER_IP_DAY=25, =400) — tune them in .env before putting an instance on aconfig
HOST— (Caddy: flush_interval -1) or SSE will never stream. Set =0.0.0.0 to listen beyond// 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
[](https://m8ven.ai/mcp/recommend-dev-recommend-agentic-trust-layer-8xffmq)commit: 42e0cf2c8b2f2114a97ed937555757eb42ad491b
code hash: e354a44d8ea00a64d68d593139a85192a6ddd0da7f0ea70604bfca1d03b85cbf
verified: 7/30/2026, 9:00:28 AM