dmf_transform_excel
shallowio.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.
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
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | 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
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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