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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "dataset-cleaner-exporter": {
      "type": "http",
      "url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
    }
  }
}

claude mcp add --transport http dataset-cleaner-exporter https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp

[mcp_servers.dataset-cleaner-exporter]
url = "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "dataset-cleaner-exporter": {
      "type": "remote",
      "url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "dataset-cleaner-exporter": {
      "type": "http",
      "url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=dataset-cleaner-exporter&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZGF0YXNldC1jbGVhbmVyLWV4cG9ydGVyLm5lcm9sYWJzLndvcmtlcnMuZGV2L21jcCJ9"
}

{
  "servers": {
    "dataset-cleaner-exporter": {
      "type": "http",
      "url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
    }
  }
}

{
  "mcpServers": {
    "dataset-cleaner-exporter": {
      "httpUrl": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
    }
  }
}

extensions:
  "dataset-cleaner-exporter":
    enabled: true
    name: "dataset-cleaner-exporter"
    type: streamable_http
    uri: "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
    timeout: 300

Quality 76 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene64 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length1 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: clean_rows (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_capabilities (readOnlyHint, destructiveHint, idempotentHint, openWorldHint)
pass
tools.token_costabout 1,173 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

2 tools, about 1,173 tokens to load them all · tool set 9ab4ee90e059 · checked 2026-10-20 12:45 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 93 / 100

provenance90

liveness97

freshness85

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-93% ~updated-38d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp` streamable-http	none	yes	93%	132 ms	2025-06-18	2026-10-20

Tools (2)

clean_rows Deduplicates, flattens and cleans a list of JSON rows in one call and returns spreadsheet-ready rows (or CSV text) plus a summary with exact counts: rows in, rows added by expansion, duplicates removed, rows dropped by maxItems, rows out, the final column list, per-column fill rates and warnings. Steps, in order: optionally explode one array field into one row per entry; flatten nested objects into columns (address.city becomes address_city); trim text; lowercase valid emails; reduce phone numbers to digits with any leading +; lowercase URL hosts and drop the trailing slash; optionally strip HTML and turn numeric or true/false text into numbers and booleans; blank text becomes null; keep, remove or rename columns; then remove duplicates (normalized by default, comparing the whole row unless dedupKeys is set) keeping the most complete row. Deterministic, no AI, nothing guessed. Use it on scraped leads, CRM exports or API results before loading them anywhere. There is a row limit per call (see list_capabilities); split bigger lists across several calls.

list_capabilities Returns the exact cleaning rules (how emails, phone numbers and URLs are detected and normalized), the dedup modes and keep strategies, the order the steps run in, and the maximum rows per call. Call this first if you are unsure how a field will be treated. Free, processes no data.

Schemas: list_tools.

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Official server.json

{
  "name": "io.github.Nero-Engine/dataset-cleaner-exporter",
  "title": "Dataset Cleaner & Exporter",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.1.0",
  "repository": {
    "url": "https://github.com/Nero-Engine/dataset-cleaner-exporter-mcp",
    "source": "github"
  },
  "websiteUrl": "https://github.com/Nero-Engine/dataset-cleaner-exporter-mcp",
  "description": "Dedupe, flatten and clean messy JSON rows (emails, phones, URLs, HTML) in one call, as JSON or CSV."
}