MCP server

Entyrix

io.github.juliusgerman/entyrix-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

KYB data from 23 European business registries — company briefs, financials, ownership, AML screening

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

13

Token cost

About 5,039 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http entyrix-mcp https://entyrix.com/mcp/v1

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.entyrix-mcp]
url = "https://entyrix.com/mcp/v1"

Gemini CLI

{"mcpServers":{"entyrix-mcp":{"httpUrl":"https://entyrix.com/mcp/v1"}}}

Cursor

{"mcpServers":{"entyrix-mcp":{"url":"https://entyrix.com/mcp/v1"}}}

VS Code

{"servers":{"entyrix-mcp":{"type":"http","url":"https://entyrix.com/mcp/v1"}}}

Antigravity

agy mcp add entyrix-mcp https://entyrix.com/mcp/v1

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"entyrix-mcp","server_url":"https://entyrix.com/mcp/v1","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"entyrix-mcp","server_url":"https://entyrix.com/mcp/v1"}

Tools

• advanced_search ~826 tokens
  Structured company search for portfolio building and market sizing — NOT for finding one known company (use search_companies). Filters: country, NACE prefix, status, region, turnover range (EUR), employee range, founding date range, VAT payer, tax debt, sanctions. Results are paged (limit + offset);
• check_compliance ~262 tokens
  Lightweight public compliance snapshot for one company (works without an account): sanctions screening, insolvency, debtor registers, VAT reliability. For the full KYB picture use kyb_check. A null field means WITHHELD or not measured — it does NOT mean clean.
• company_brief ~445 tokens
  Compact, deterministic Markdown brief of one company (≤12 KB): identity, address, industry, latest financials, credit score and recommended limit, cyber score, risk flags (insolvency, tax debt, sanctions), NIS2 status and key people where licensed. The best single call for 'tell me about company X'.
• find_suppliers ~332 tokens
  Public procurement contracts this company is party to (SK CRZ + CZ Registr smluv), newest first, paged. HONEST SCOPE: this is business-to-government procurement, NOT a commercial supply chain — do not present it as one.
• get_company_details ~402 tokens
  Full record for one company: identity, address, legal form, status flags, NACE, and the whole enrichment layer we hold (web, tech stack, NIS2, EU funds, LEI, HU de minimis state aid granted, HU public procurement from EKR, …). Large — prefer company_brief unless you need a specific field. Natural-pe
• get_company_network ~341 tokens
  Companies connected to this one through shared officers or owners (one hop). Use for group structure and beneficial-ownership tracing. Person names are gated like everywhere else.
• get_company_relations ~428 tokens
  Direct relations of one company — statutory officers, owners, parents, subsidiaries, M&A events — without traversing the wider graph. `shareholders` are owners only; members of the supervisory board are in `supervisoryBoard`. SK M&A events: effectiveDate is the date stated by the register; when miss
• get_financials ~405 tokens
  Filed financial statements of one company, one row per fiscal year (newest first), with revenue, profit, assets, equity, liabilities and year-over-year trend. Amounts are EUR CENTS as integers (divide by 100 for euros). Use for trend and solvency questions; company_brief already carries the latest y
• kyb_check ~455 tokens
  One-call Know-Your-Business summary for one company: registry status, insolvency, liquidation, sanctions screening, debarment, tax/social/health debts, VAT reliability and the overall risk verdict. Use before onboarding a customer or supplier. Coverage differs by country: `checks[]` gives each check
• list_rankings ~109 tokens
  A published ranking by its slug (e.g. largest employers, top taxpayers). Call WITHOUT a key first to list the available slugs — inventing one returns an error.
• lookup_company ~398 tokens
  Resolve exactly one company by its national registry identifier in a given country. Handles every identifier shape we carry (SK/CZ/EE IČO, AT Firmenbuch e.g. '187a', SI/LV registry numbers, …). Returns the core record: identity, address, legal form, status, NACE. For an LLM-ready summary prefer comp
• screen_companies ~353 tokens
  Run kyb_check on up to 25 companies at once and get one compact row per company (status, insolvency, sanctions, debts, verdict, coverage). INSUFFICIENT_DATA = no findings but not covered by the core registers for that country — never report it as clean. Use for supplier lists or portfolios. Each com
• search_companies ~283 tokens
  Find companies by name (or name fragment) across the pan-European dataset. Returns ranked candidates with registry identifier, country, legal form and status. Use this FIRST when you only know a name; then pass the identifier + country to lookup_company or company_brief. Do not use it to filter by i

Browse

• GitHub tools
• Converting to Markdown
• Company data
• Legal research
• GitHub and code hosting

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