71
/ 100
10 days ago
glama
mcp-pandas
Enables data analysis on CSV/Excel files using pandas. Supports profiling, column interpretation, sandboxed code execution, and interactive chart generation.
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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.
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.config
MCP_CHARTS_DIR— charts Directory where generate_chartjs writes HTML files.config
MCP_TRANSPORT— The server supports two transports, selected via the environment variable (see [Configuration](#configuration)).config
MCP_HOST— 0.0.0.0 Host/interface to bind when using HTTP. Use 0.0.0.0 to expose it.config
MCP_PORT— docker run --rm -p 9000:9000 -e =9000 mcp-pandas// 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 5 concrete improvements 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/devantage-mcp-pandas-1nji7g)commit: b4ed174bd605f4d125eafbad7cdccab2354071d9
code hash: 95bf6bcf8dee7ce501adc788461fa37ec4e038ff45b42cbcef88ff4d5d2a04f8
verified: 7/21/2026, 8:39:29 AM