Legal Entity Resolver MCP Server

MCP server for the Mamba Labs Legal Entity Resolver actor on Apify.

Give it a company domain and it returns the registered legal entity behind it: legal name, company number, jurisdiction, status, LEI and VAT number. One flat row per domain, 24 fields, ready for Clay or a CRM.

Install

npx -y @mambalabsdev/mcp-legal-entity-resolver

Claude Desktop

{
  "mcpServers": {
    "mamba-legal-entity-resolver": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-legal-entity-resolver"],
      "env": { "APIFY_TOKEN": "your-apify-token" }
    }
  }
}

Get an Apify token at console.apify.com/account/integrations.

Tool

resolve_legal_entity

Company domain in, the registered legal entity behind it out.

Input	Type	Required	Notes
domain	string	yes	A single company domain, for example monzo.com. Protocol and path are stripped.
legal_name_hint	string	no	Skips the domain lookup and goes straight to the registers with this name. Use it when you already have the legal name and just want the register record.
jurisdiction_hint	string	no	ISO-2 country code, for example GB or US. Narrows which registers are queried and cuts latency. Leave empty to query every register.
match_strictness	enum	no	exact accepts a register record only when the normalized legal names are equal. fuzzy returns the best scoring candidate with a confidence below 100 and a warning in rejected_candidates. Default exact.
validate_vat	boolean	no	Runs any VAT number found on the company's own pages through the EU VIES service and returns the name VIES holds for it, as a cross-check against the register name. Default true.
skipCache	enum	no	false uses the cache, 90 days for a resolved company and 7 days for a null. true forces a fresh look. Default false.

A null is the product, not a gap

Register search endpoints are fuzzy and they always return something. Taking the top search result gives you a confidently wrong company number more often than not. This actor accepts a match only when the legal names are identical after normalization, which is why roughly 6 domains in 10 resolve instead of 10 in 10, and why the 6 are worth acting on.

Read match_method, match_confidence and rejected_candidates before acting on a match. fuzzy strictness is a research mode: it will hand you a confidently wrong company on most domains.

Three registers are queried: UK Companies House, GLEIF and SEC EDGAR.

Billing

You are charged per domain resolved, plus a small actor start fee. Cached results are 90 days for a resolved company and 7 days for a null.

Pricing is on the actor's Apify page. Running this server consumes Apify credits.

What this server does and does not do

It is a thin client for the Apify actor. It passes your input through and returns the actor's output unchanged. Every behavior described above lives in the actor, not here.

This is not a company database and not a credit or risk product. It does not score companies, rate them, or tell you whether to trade with them. It answers one question: which registered legal entity sits behind this domain.

Errors are surfaced, never swallowed. An invalid input, an invalid token, an exhausted balance, a timeout, or a run that returns anything other than a dataset all come back as an explicit tool error rather than as an empty result.

Source

The actor is on the Apify Store. This wrapper is MIT licensed.

Built by Mamba Labs