What is Paybyrd Payment Processing?
Paybyrd Payment Processing is a AI tool that Integrates with Paybyrd's payment processing API to enable creating payment links, processing refunds, and retrieving order information through a JavaScript library with configurable permissions and c. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by https://github.com/paybyrd/ai-agent-toolkit-js. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Paybyrd Payment Processing Does
Paybyrd Payment Processing is a mcp_server in the AI tool category. Integrates with Paybyrd's payment processing API to enable creating payment links, processing refunds, and retrieving order information through a JavaScript library with configurable permissions and comprehensive error handling.. It is published by https://github.com/paybyrd/ai-agent-toolkit-js and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Paybyrd Payment Processing
Paybyrd Payment Processing is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/paybyrd/ai-agent-toolkit-js |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=paybyrd-payment-processing
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.