52
/ 100
1 month ago
glama
Tuba Workflow MCP Server
This MCP server bridges to the Tuba.ai platform, enabling programmatic control of AI vision workflows through callable tools such as running workflows, checking status, fetching results, and updating workflow blocks.
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// key findings
⚠️
Tool descriptions don’t match what handlers do
1 tool describes read intent but its handler mutates — result (line 72: with open("result.zip", "wb") as f:)
✅
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.
🔐
You'll be asked for 1 credential: TUBA_WORKFLOW_ACCESS_TOKEN
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.🔐 secret
TUBA_WORKFLOW_ACCESS_TOKEN— Your project's API access token// 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 7 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/devisionx-tuba-workflow-mcp-server-bngufu)commit: fdf3d6d585295036070946db475993f94f9f4fd2
code hash: 59ec55bc81cecac86ebf8bb907242e99628a96ed5c8a590a64362abde6a5f8bc
verified: 6/21/2026, 10:15:06 AM