mckinsey/vizro-mcp A
mckinsey/vizro
MCP Server
Official
Active
Tools and templates to create validated and maintainable data charts and dashboards.
gpartin/WaveGuardClient
gpartin/WaveGuardClient
MCP Server
Stale
MIT
cloud
Physics-based anomaly detection via MCP. Uses Klein-Gordon wave equations on GPU to detect anomalies with high precision (avg 0.90). 9 tools: scan, fingerprint, compare, token risk, wallet profiling, volume check, price manipulation detection.
D Quality 40/100
★ 4 stars
Updated 4mo ago
Python
Installation
Example client config (verify package name in the repo README)
{
"mcpServers": {
"WaveGuardClient": {
"command": "uvx",
"args": ["WaveGuardClient"]
}
}
}Quality score breakdown
Transparent heuristic — same formula for every entry. Total 40/100.
GitHub stars (log scale)7/40
Maintenance activity8/25
License present10/10
Official project0/10
Not archived5/5
Meaningful description5/5
Repo topics set5/5
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