dmf_transform_excel

shallow

io.github.alimbenhelal-pro/alm-xpp-mcp · Verify this server

Transform a multi-sheet Excel (.xlsx) into DMF-ready rows using a data-driven JSON mapping -- equivalent to FO_TransformExcelForDMF. NO FO credentials required (offline transform). Provide the workbook via ONE of: sourceUrl (Blob/SharePoint SAS URL or Graph downloadUrl), filePath (local .xlsx) or fileContentBase64 (inline upload, small files only). The mappingJson spec supports: sourceSheet, targetSheet, columnMappings {source->target}, conditionalValues [{sourceColumn,matches[],values{}}], staticValues{}, deduplicateOn[] and autoGeneratedFields (array OR object keyed by sheet, e.g. {"Products V2":["PRODUCTNUMBER"]}) which are removed so FO generates them. Returns CSV (default, feed to dmf_import_file) or JSON (feed to odata_upsert_rows). Set listSheetsOnly=true to just inspect the workbook's sheet names.

100.0/100

1 trials · measured 8 days ago

dmf_transform_excel scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.alimbenhelal-pro/alm-xpp-mcp, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote + stdio
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: dmf_transform_excel
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dmf_transform_excel — Vouch