smithery Safe content atomic mcp-remote

Disco

Disco is not another AI data analyst that writes pandas or SQL for you. Disco finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and (optionally) checked for novelty against academic literature with citations. This is a computational pipeline, not prompt engineering over data. You cannot replicate what it does by writing pandas code or asking an LLM to look at a CSV. It finds structure that hypothesis-driven analysis misses, because it doesn't start with hypotheses.

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
database
Source
Smithery
Author type
human
Updated
2026-05-11
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Use via MCP

MCP

Resolve Disco from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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