71
/ 100
13 days ago
glama

Disco

Superhuman data-driven science. Allows agents to upload any tabular dataset, specify a target column, and get validated predictive patterns (with p-values, effect sizes, and context from literature) that surface feature interactions and subgroup effects you'd otherwise miss. Many discoveries already made, free for open data!

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// key findings
14 tools verified — handlers match their declared behaviour
5 read-only tools verified — handlers contain no write/delete/exec
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 2 credentials: DISCOVERY_API_KEY, MCP_OAUTH_SECRET
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.
configDISCOVERY_DASHBOARD_URL
🔐 secretDISCOVERY_API_KEY"env": { "": "disco_..." }
🔐 secretMCP_OAUTH_SECRET
configMCP_SERVER_URL
configMCP_TRANSPORT
configMCP_HOST
configMCP_PORT
// 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
[![M8ven Score](https://m8ven.ai/badge/mcp/leap-laboratories-discovery-engine-knyzbg)](https://m8ven.ai/mcp/leap-laboratories-discovery-engine-knyzbg)
commit: fca6c8571ccc44ad5038b9414c321a68a5544cf8
code hash: 2ba5cffd8ba9ef594c24f2a60e24d2d22338dc9b0f64f9ea1998e8f0be08ce96
verified: 6/17/2026, 12:02:00 PM
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