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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "catalog-normalizer": {
      "type": "http",
      "url": "https://catalog-normalizer.acjlabs.com/mcp"
    }
  }
}

claude mcp add --transport http catalog-normalizer https://catalog-normalizer.acjlabs.com/mcp

[mcp_servers.catalog-normalizer]
url = "https://catalog-normalizer.acjlabs.com/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "catalog-normalizer": {
      "type": "remote",
      "url": "https://catalog-normalizer.acjlabs.com/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "catalog-normalizer": {
      "type": "http",
      "url": "https://catalog-normalizer.acjlabs.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=catalog-normalizer&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vY2F0YWxvZy1ub3JtYWxpemVyLmFjamxhYnMuY29tL21jcCJ9"
}

{
  "servers": {
    "catalog-normalizer": {
      "type": "http",
      "url": "https://catalog-normalizer.acjlabs.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "catalog-normalizer": {
      "httpUrl": "https://catalog-normalizer.acjlabs.com/mcp"
    }
  }
}

extensions:
  "catalog-normalizer":
    enabled: true
    name: "catalog-normalizer"
    type: streamable_http
    uri: "https://catalog-normalizer.acjlabs.com/mcp"
    timeout: 300

Quality 82 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 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 hygiene79 · 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
pass
tools.annotations1 of 1 tools declare readOnlyHint or destructiveHint
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: normalize_catalog (destructiveHint, idempotentHint)
pass
tools.token_costabout 539 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

1 tools, about 539 tokens to load them all · tool set fbf09ea2f671 · checked 2026-10-20 14:21 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 97 / 100

provenance100

liveness99

freshness85

hygiene100

+repository +namespace-matches-repo +dns-namespace +website +reachable +uptime-97% ~updated-82d-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://catalog-normalizer.acjlabs.com/mcp` streamable-http	none	yes	97%	1285 ms	2025-11-25	2026-10-20

Tools (1)

normalize_catalogread-only Normalizes a batch of catalog products (attribute canonicalization/extraction + category-path mapping into the requested target taxonomies: google, shopify, amazon). Returns one result per input product, same order: a NormalizedProduct on success, or { error, source_title } if that specific product's classification failed — one product's failure never voids the rest of the batch. attributes is keyed by a controlled vocabulary (size, color, material, gender, sleeve_length — unrecognized keys are dropped, not passed through under a model-chosen name) and each value carries provenance: "canonicalized" means it came from your own raw_attributes input for that product (deterministic cleanup only, no recall); "extracted" means the model inferred it from the title/description and it wasn't in your input — treat extracted values as a suggestion, not a confirmed fact about the product, the same way you'd treat a low-confidence category_paths entry. category_paths for google and shopify is retrieval-grounded against the real, current taxonomy files (not recalled from memory) — measured at 22/24 (91.7%) exact path+leaf_id matches on a 12-product evaluation set; amazon has no comparable public reference file, so it stays best-effort. Each entry's confidence (0-1) and leaf_id (null when not confident it matches a real node) are the honest signal regardless of taxonomy — treat a low-confidence or null-leaf_id result as a suggestion worth a quick human check, not a confirmed classification.

Schemas: list_tools.

Similar MCP servers

More from com.acjlabs

Official server.json

{
  "name": "com.acjlabs/catalog-normalizer",
  "title": "Catalog Attribute Normalizer",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://catalog-normalizer.acjlabs.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.1.2",
  "repository": {
    "url": "https://github.com/acjlabs/catalog-normalizer",
    "source": "github"
  },
  "websiteUrl": "https://acjlabs.com/products",
  "description": "Catalog attribute normalizer, taxonomy-grounded — no fabricated Google/Shopify category IDs."
}