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GoldenAnalysis

Read-only analysis, metrics, and reporting across the Golden Suite.

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Install GoldenAnalysis

Pick your client, then add it in one click or paste the config.

STDIOPython
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "goldenanalysis": {
      "command": "uvx",
      "args": [
        "goldenmatch"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

We couldn’t confirm it starts correctly

We ran the install command but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

uvx goldenmatch

No response to initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 9d ago.

Overview

GoldenAnalysis MCP server provides read-only cross-cutting analysis, metrics, and reporting across the Golden Suite. Reach for it when an agent needs to inspect or report on suite-wide results without changing data.

Use cases

  • Inspect suite-wide metrics without mutating source data
  • Generate reports from Golden Suite results
  • Review cross-cutting analysis through an MCP-compatible agent

Key features

  • Read-only analysis
  • Cross-cutting Golden Suite metrics
  • Suite-wide reporting
  • MCP-based agent access

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

8/8 checks healthy over the last 40d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 15d ago via OSV.dev · goldenmatch (PyPI)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars133Stargazers on the source repository.
Last commitTodayMost recent push to the default branch.
Install checkInconclusiveDidn't respond in our test window — often a slow first install.
Directory activity3 viewsConfig copies, upvotes, and views on AllMCPs.

How GoldenAnalysis works

What GoldenAnalysis does

GoldenAnalysis MCP server is described as a read-only analysis, metrics, and reporting layer for the Golden Suite. Its purpose is to give agents a cross-cutting view rather than perform entity matching or mutate records directly.

The repository README is primarily about GoldenMatch, a Python package for entity resolution. That package accepts CSV files, PyArrow tables, and Polars DataFrames, then groups records that appear to represent the same person, company, or product. It exposes deduplicated, golden, unique, cluster, and configuration results through Python, and provides a command-line workflow. These capabilities belong to GoldenMatch and should not be assumed to be direct GoldenAnalysis tools.

How it works

GoldenAnalysis MCP server is intended for read operations across the Golden Suite. In practical terms, an MCP-compatible agent would use it to request analysis, metrics, or reporting information, while leaving the underlying suite data unchanged.

The broader repository describes a suite that includes GoldenMatch and references other packages, including GoldenAnalysis, GoldenFlow, GoldenGraph, GoldenProfile, GoldenPipe, and related native packages. It also mentions a suite MCP package and a claim of more than 70 MCP tools, but it does not map those tools to GoldenAnalysis or provide their names. Treat those references as ecosystem context rather than a documented GoldenAnalysis interface.

Tools and capabilities

Based on the listing description, the supported capability areas are:

  • Read-only cross-cutting analysis
  • Metrics across the Golden Suite
  • Reporting across the Golden Suite

Developers evaluating the server should verify those details in the repository or package documentation before building an integration around them.

Limitations and notes

The repository name and README focus on GoldenMatch, while the listing describes GoldenAnalysis. GoldenMatch's documented command is goldenmatch dedupe, and its Python entry points include gm.dedupe() and gm.dedupe_df(); those are not evidence that GoldenAnalysis exposes matching or deduplication operations.

It does not provide GoldenAnalysis-specific installation steps, environment variables, transport details, client compatibility, or configuration examples. No such details are asserted here.

For a production decision, confirm which Golden Suite products are queried, whether reports are computed on demand or retrieved from stored results, and what access controls apply. The GoldenAnalysis MCP server should be considered a read-only reporting candidate until those interface details are documented.

Read the full README View source on GitHub

Reviews

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Frequently Asked Questions about GoldenAnalysis

GoldenAnalysis is an MCP server that connects agents to the Golden Suite for read-only cross-cutting analysis, metrics, and reporting.

It documents `pip install goldenmatch` for the separate GoldenMatch package and links to a Smithery MCP listing, but it does not specify a GoldenAnalysis package, command, transport, or configuration procedure.

The README references MCP and Smithery but names no MCP clients, so verify the server transport and Cursor setup instructions before relying on this integration.

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