GoldenMatch

Find duplicate records in 30 seconds.

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Analyze Data: Profile data, detect domain, recommend ER strategy
  • Auto Configure: Generate optimal matching config from data analysis
  • Agent Deduplicate: Run full ER pipeline with confidence gating and reasoning

What data it sees

Do you need an account

No: the server works without sign-in

Find duplicate records in 30 seconds. Zero-config entity resolution, 97.2% F1 out of the box.

How to connect

How to connect GoldenMatch to Claude

The server address to paste into Claude settings:

https://goldenmatch--benzsevern.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect GoldenMatch to ChatGPT

The server address to paste into ChatGPT settings:

https://goldenmatch--benzsevern.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect GoldenMatch to Cursor

The server address to paste into Cursor settings:

https://goldenmatch--benzsevern.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (27)

Raw names from tools/list. Only developers need these.

analyze_dataProfile data, detect domain, recommend ER strategy
auto_configureGenerate optimal matching config from data analysis
agent_deduplicateRun full ER pipeline with confidence gating and reasoning
agent_match_sourcesMatch two files with intelligent strategy selection
agent_explain_pairNatural language explanation for a record pair
agent_explain_clusterExplain why records are in the same cluster
agent_review_queueGet borderline pairs awaiting approval
agent_approve_rejectApprove or reject a review queue pair
agent_compare_strategiesCompare ER strategies on your data
suggest_pprlCheck if data needs privacy-preserving matching
get_statsGet dataset statistics: record count, cluster count, match rate, cluster sizes.
find_duplicatesFind duplicate matches for a record. Provide field values to search against the loaded dataset.
explain_matchExplain why two records match or don't match. Shows per-field score breakdown.
list_clustersList duplicate clusters found in the dataset. Returns cluster IDs, sizes, and member counts.
get_clusterGet details of a specific cluster: all member records and their field values.
get_golden_recordGet the merged golden (canonical) record for a cluster.
match_recordMatch a single record against the loaded dataset in real-time. Paste a record's fields and instantly see if it matches any existing record. Uses the configured matchkeys, scorers, and thresholds. Example: {"name": "John Smith", "email": "john@test.com", "zip": "10001"}
unmerge_recordRemove a record from its cluster. The record becomes a singleton. Remaining cluster members are re-clustered using stored pair scores. Use this to fix bad merges.
shatter_clusterBreak an entire cluster into individual records. All members become singletons. Use when a cluster is completely wrong.
suggest_configAnalyze bad merges and suggest config changes. Provide examples of incorrect merges (pairs that should NOT have matched) and GoldenMatch will identify which fields/thresholds to tighten. Example: [{"record_a": {...}, "record_b": {...}, "reason": "different people"}]
profile_dataGet data quality profile: column types, null rates, unique counts, sample values.
export_resultsExport matching results to a file (CSV or JSON).
list_domainsList available domain extraction rulebooks (built-in + user-defined).
create_domainCreate a custom domain extraction rulebook. Define patterns for a specific data domain (medical devices, automotive parts, real estate, etc.).
test_domainTest a domain extraction rulebook against sample records. Shows what features would be extracted from the loaded data.
pprl_auto_configAnalyze the loaded dataset and recommend optimal PPRL (privacy-preserving record linkage) configuration. Returns recommended fields, bloom filter parameters, threshold, and explanation.
pprl_linkRun privacy-preserving record linkage between two parties' data. Computes bloom filters, matches records without sharing raw data. Specify fields, threshold, and security level.