io.github.clssck/dataiku-mcp

MCPattested
v1.1.1io.github.clssckUnknownUpdated 5mo agonpmGitHub

MCP server for Dataiku DSS project, flow, and operations APIs.

MCP server for Dataiku DSS REST APIs, focused on flow analysis and reliable day-to-day operations (projects, datasets, recipes, jobs, scenarios, folders, variables, connections, and code environments). Deterministic normalized flow maps () with recipe subtypes and connectivity. Summary-first outputs with explicit raw/detail toggles where needed. Broad test coverage (unit + live integration +…

Attested build
A verified provenance attestation binds this artifact to the listed repository. Nobody has claimed the listing yet — this proves where the code was built, not who stands behind it.
5mo agoLast update
Package
Authorio.github.clssck
LicenseUnknown
Version1.1.1
Sourcemcp-registry
npmdataiku-mcp
GitHubclssck/Dataiku_MCP
Trust Status
A
85/100Trusted
✓Listed in Forge index+10/10
✓Identity verified · attested build+20/20
—Ed25519 publish signature+0/5
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓npm Trusted Publishing (Sigstore)+5/5
—npm maintainer match+0/5
→ Publisher: add the verified GitHub login to the npm package's maintainers (npm owner add <login>)
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusIdentity verified
PublisherUnverified
SignatureUnsigned
Domain—
Provenance✓ Sigstore-verified · 20e96a5
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface—
Security scan✓ Cleanv1.1.1 · 2mo ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

MCP server for Dataiku DSS REST APIs, focused on flow analysis and reliable day-to-day operations (projects, datasets, recipes, jobs, scenarios, folders, variables, connections, and code environments). Deterministic normalized flow maps () with recipe subtypes and connectivity. Summary-first outputs with explicit raw/detail toggles where needed. Broad test coverage (unit + live integration + optional destructive integration suite). Strong error taxonomy in responses: , , , , with retry hints.…

Keywords
mcp