71
/ 100
1 day ago
glama
ruc-mcp
Enables AI agents to write and execute code snippets that call back to the LLM, combining procedural code with LLM judgment for reliable execution of complex tasks such as data processing and classification.
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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
RUC_MCP_LOG_LEVEL— e =DEBUG \config
RUC_MCP_HOST_WORKSPACE— e =${workspaceFolder} \config
RUC_MCP_LOG_FILE// 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/mightydatainc-ruc-mcp-3n7rc0)commit: 262965ba5121cdc742408e716556821258e8cb8d
code hash: 5a8be4ee61cdc3325142bea45458a05e8355f2be4becacaf627766ebb15a75dd
verified: 7/30/2026, 8:58:08 AM