74
grade C
10 days ago
glama
Datalog Studio MCP Server
Integrates with the Datalog Studio REST API to explore projects, tables, and assets within a workspace. It enables users to understand data schemas and upload plain text content directly for AI processing.
Install from
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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.
🔐
You'll be asked for 1 credential: DATALOG_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.config
DATALOG_API— The domain endpoint (e.g., https://enterprise.com).🔐 secret
DATALOG_API_KEY— The extension requires a . By default, it connects to https://studio.igot.ai/v1/catalog.config
DATALOG_URIconfig
E2B_SANDBOX_ID// 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 4 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/igot-ai-datalog-studio-4ra3fx)commit: 413e561a698820593e7cb2eb396143f92465f191
code hash: 55699dfead4dbf2dabb288439d4cd52e36d98248bc6f8e8813545ca100393247
verified: 4/11/2026, 3:11:14 PM