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Rockfish MCP Server
Enables interaction with the Rockfish AI platform for synthetic data generation, dataset management, and ML workflow orchestration through tools like TabGAN training and Manta analytics.
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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.
🔐
You'll be asked for 1 credential: ROCKFISH_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
ROCKFISH_ORGANIZATION_ID— your_organization_id_hereconfig
ROCKFISH_PROJECT_ID— your_project_id_here🔐 secret
ROCKFISH_API_KEY— your_api_key_hereconfig
ROCKFISH_API_URL— "": "https://api.rockfish.ai"config
MANTA_API_URL— Manta (Analytics & Scenarios) — requiresconfig
MANTA_BASE_URL// 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 3 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/rockfish-data-rockfish-mcp-oyvyna)commit: 73751ff30d34c900cedc86af1e73b817bc72abd5
code hash: 25baef0515a703171688224f7dae4464e2ad4b1973fb813923b3e1ae91ee93b0
verified: 6/22/2026, 12:32:45 PM