GoldenMatch

vgoldensuite-mcp-v0.2.0 scope: goldensuite-mcp Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 2mo Data Pipelines & ETL

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

data-cleaning data-engineering data-matching data-quality deduplication entity-resolution

+14 more

fellegi-sunter fuzzy-matching knowledge-graph llm master-data-management mcp-server polars pprl python record-linkage rust splink typescript zero-config

Summary

AI summary

Initial release of GoldenMatch goldensuite-mcp-v0.2.0 exposing a unified MCP endpoint for all Golden Suite tools.

Full changelog

First real release

The aggregator MCP server was scaffolded as 0.1.0 but never published. This release wires up the publish workflow, adds smoke tests, and ships everything that's accumulated in the suite's MCP surface since 2026-03.

What you get

One MCP endpoint exposing every Golden Suite tool:

pip install goldensuite-mcp
goldensuite-mcp serve --transport http --port 8300

Tool list at a glance (first-wins collision policy):

goldenmatch 1.15.0 — entity resolution, 6 Identity Graph tools (identity_resolve, identity_list, identity_history, identity_conflicts, identity_merge, identity_split), 5 Learning Memory tools, AutoConfigController tools
goldencheck 1.2.0 — data quality scan, baseline, drift detection
goldenflow 1.1.6 — 14 transform commands
goldenpipe 1.1.0 — pipeline orchestration
infermap 0.4.0 — schema mapping

Verified

test_identity_tools_surface_through_aggregator asserts all 6 v1.15 Identity Graph tools flow through transitively via goldenmatch.mcp.server.TOOLS. No per-tool wiring needed.

🤖 Generated with Claude Code

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Earlier breaking changes

v3.1.0 `GOLDENMATCH_FRAME=polars` now requires the `[polars]` extra; raises error without it.
vgoldencheck-v3.0.0 `inferred_type` emits neutral dtype vocabulary (str/int/uint/float/date/datetime/bool/other) instead of raw Polars dtypes.
vgoldencheck-v3.0.0 'inferred_type' now emits a neutral dtype vocabulary instead of raw Polars dtype strings.
vgoldencheck-v3.0.0 `scan_file`, `scan_dataframe`, and CLI `check` now run without Polars, using Arrow-native pyarrow.Table.
v3.0.0 Result frames now return pyarrow.Table instead of Polars DataFrame.