MCP server

cuisor.ro

io.github.idragulin/cuisor

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

Romanian company register: identity, filed financials, procurement, court records by name or CUI.

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

12

Token cost

About 2,564 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 cuisor https://cuisor.ro/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.cuisor]
url = "https://cuisor.ro/mcp"

Gemini CLI

{"mcpServers":{"cuisor":{"httpUrl":"https://cuisor.ro/mcp"}}}

Cursor

{"mcpServers":{"cuisor":{"url":"https://cuisor.ro/mcp"}}}

VS Code

{"servers":{"cuisor":{"type":"http","url":"https://cuisor.ro/mcp"}}}

Antigravity

agy mcp add cuisor https://cuisor.ro/mcp

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":"cuisor","server_url":"https://cuisor.ro/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"cuisor","server_url":"https://cuisor.ro/mcp"}

Tools

• company_stats ~447 tokens
  Compute ONE number over a filtered population of companies — count, sum, avg, median, p25, p75, min or max. Prefer this over listing companies and doing the arithmetic yourself: it is one call instead of dozens, and it is exact. metric: net_turnover_ron, net_profit_ron, employees, sales_per_employee
• fetch ~137 tokens
  ChatGPT connector fetch: the full company document for one CUI `id`, as returned by a prior `search` call. Identical to get_company with no include= (administrators included; get_officers lists them per source). Use get_company instead unless you are the ChatGPT Apps SDK connector, which requires th
• get_company ~235 tokens
  Identity, status, address, activity and headline figures for one company by CUI. Slim by default. Pass include=['financials','procurement','change_history','peers','same_address'] for more. Carries `as_of` dates: the register and ANAF are refreshed on different schedules. Data: the Romanian company
• get_financials ~129 tokens
  Every filed financial year for one company: turnover, profit (signed — negative is a loss), employees, and the full balance sheet, all in lei. `latest_filed_year` says how recent the filings go, so a year with no row reads as 'not filed yet' rather than 'no data'.
• get_legal ~182 tokens
  Court dockets (portal.just.ro) and BPI publications for one company, by CUI. Covers roughly the last three years, not a complete litigation history — it answers whether a company is in court now or recently, not whether it has ever been sued. Includes ambiguous matches the public website never shows
• get_meta ~108 tokens
  How old each dataset is, how many companies filed in each year, what fraction of the register carries an activity code, and the mapping from every financial field name to its Romanian label. Call this when the user asks how current or how complete the data is.
• get_officers ~147 tokens
  Legal representatives and administrators of one company. This is personal data: it requires an API key, every call is recorded against that key, and it is never available anonymously. `sources_present` says which registers contributed, so an empty list means 'none on record from these sources', not
• get_procurement ~133 tokens
  Public procurement (SEAP) awards for one company: contracts it won, and contracts it granted as a contracting authority. Bounded to the 200 most recent per side; `total` reports the true count, which can be far larger.
• list_companies ~499 tokens
  List companies matching a filter, largest turnover first, at most 100 per page. Pass caen_query for free text ('coffee shops') or caen for explicit codes; judet accepts 'Bucharest', 'Bucuresti' or 'Bucureşti'; cui takes up to 100 comma-separated CUIs. Filters compose, so 'restaurants registered in C
• resolve_caen ~193 tokens
  Resolve free text like 'coffee shops' or 'car repair' to CAEN activity codes. ALWAYS call this before filtering by activity — do not guess a CAEN code. More than half the official nomenclator is obsolete CAEN Rev.1 with zero companies, and those are exactly the entries whose descriptions match the o
• search ~116 tokens
  ChatGPT connector search: find Romanian companies by name or CUI, returned as {id, title, url}. Identical to search_companies — use that tool instead unless you are the ChatGPT Apps SDK connector, which requires this exact name.
• search_companies ~238 tokens
  Resolve a company name or CUI to candidate companies. Use this first whenever the user names a company rather than giving its CUI. Returns at most 50 candidates, active companies first, largest turnover first. Romanian company names collide heavily, so show the user the candidates rather than assumi

Browse

• GitHub tools
• Website monitoring
• Hiring and jobs
• Legal research
• GitHub and code hosting

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