What is CCXT Cryptocurrency Exchange?
CCXT Cryptocurrency Exchange is a AI tool that Integrates with cryptocurrency exchanges through CCXT library to provide market data analysis and execute trading operations across spot, futures, and options markets without context switching.. It has a Nerq Trust Score of 36/100 (E). 8 GitHub stars. Published by https://github.com/jcwleo/ccxt-mcp-server. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 8 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What CCXT Cryptocurrency Exchange Does
CCXT Cryptocurrency Exchange is a mcp_server in the AI tool category. Integrates with cryptocurrency exchanges through CCXT library to provide market data analysis and execute trading operations across spot, futures, and options markets without context switching.. It is published by https://github.com/jcwleo/ccxt-mcp-server and has no specified license. With 8 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use CCXT Cryptocurrency Exchange
CCXT Cryptocurrency Exchange is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/jcwleo/ccxt-mcp-server |
|---|---|
| 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=ccxt-cryptocurrency-exchange
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Sequential Thinking | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.