canvas_batch

shallow

io.datadef/mcp · Verify this server

When: use whenever you would otherwise make several canvas_* write calls in a row, above all with tools that take one item per call: create every zone (group_nodes), convert many nodes (replace_node), set several tables' columns (set_columns). Eighteen zone creations or thirty-five replacements become one call and one save. Each operation is {"tool": "<canvas tool, with or without the canvas_ prefix>", "args": {<that tool's arguments, without diagram_id>}}. Operations run in order on the same diagram, so a later one can use what an earlier one created by its exact label (create a zone in operation 1, add nodes with that zone as their group in operation 2). All or nothing: if one operation fails, nothing is saved and the result names the failing operation. Write tools only; read with canvas_view. Returns compact JSON: one line per operation, the ids created, changed or removed, and the new revision. Next: canvas_layout_canvas once if the structure changed (or end the batch with a layout_canvas operation), then canvas_view.

100.0/100

1 trials · measured 16 days ago

canvas_batch scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.datadef/mcp, measured 6 Oct 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
Credential class
gated
Category
Communication
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-06100.0shallowv0.2.0

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: canvas_batch
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canvas_batch — Vouch