protogrid

Search / io.github.idragulin/cuisor

cuisor.ro

R0· no sign-in

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

v1.29.1 · active · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality79good
Trust76of 100
Uptime, 30 days98%
Latency p50862 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "cuisor": {
      "type": "http",
      "url": "https://cuisor.ro/mcp"
    }
  }
}
claude mcp add --transport http cuisor https://cuisor.ro/mcp
[mcp_servers.cuisor]
url = "https://cuisor.ro/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "cuisor": {
      "type": "remote",
      "url": "https://cuisor.ro/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "cuisor": {
      "type": "http",
      "url": "https://cuisor.ro/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=cuisor&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vY3Vpc29yLnJvL21jcCJ9"
}
{
  "servers": {
    "cuisor": {
      "type": "http",
      "url": "https://cuisor.ro/mcp"
    }
  }
}
{
  "mcpServers": {
    "cuisor": {
      "httpUrl": "https://cuisor.ro/mcp"
    }
  }
}
extensions:
  "cuisor":
    enabled: true
    name: "cuisor"
    type: streamable_http
    uri: "https://cuisor.ro/mcp"
    timeout: 300

Quality 79 / 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 hygiene71 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • 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: get_meta (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_financials (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_officers (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
  • pass
    tools.token_costabout 2,119 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

12 tools, about 2,119 tokens to load them all · tool set 17e56e57aca0 · checked 2026-10-20 11:40 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 76 / 100

no-repository
provenance45
liveness99
freshness85
hygiene80

+website +reachable +uptime-98% ~updated-43d-ago -no-repository

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

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://cuisor.ro/mcp streamable-httpnoneyes98%862 ms2025-11-252026-10-20

Tools (12)

company_statsCompute 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_ron, profit_margin_pct, company_count, age_years. group_by: year, caen, judet, status, founded_year — use group_by='year' with years='2019-2024' to get a time series you can chart. Always report `coverage.rows_with_metric` alongside the answer: it is routinely about half of `coverage.matched_companies`, because many companies never filed the figure.
fetchChatGPT 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 this exact name.
get_companyIdentity, 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 register (~4M companies) with filed financial statements, ANAF fiscal status, public procurement awards, and legal representatives. Amounts are in lei (RON). Not real-time: every payload states the age of the data it came from.
get_financialsEvery 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_legalCourt 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: a docket whose party name is shared by more than one company in the register, fanned out one row per candidate CUI. No co-party names, no outcome or merits.
get_metaHow 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_officersLegal 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 'this company has no officers'.
get_procurementPublic 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_companiesList 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 Cluj last week' is one call. For newly registered companies pass sort='registered_desc' with registered_after — the default turnover order puts them behind every company that has ever filed a figure. Check register.data_through in the response before reporting an empty result: the register is a monthly ONRC snapshot and holds nothing registered after that date. Use cursor to page. If you want a count, an average or a total, use company_stats instead — do not page through companies to compute one.
resolve_caenResolve 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 obvious word, so a guessed code commonly returns nothing for a question with thousands of answers. Show the user what was matched.
searchChatGPT 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_companiesResolve 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 assuming the first is right. An unquoted query matches every name containing the words (mina srl: 1015 companies); wrap a name you already know in double quotes to get only the companies called that ("mina srl": 14). Case, diacritics and SRL/S.R.L. all fold. Quote a name, not a CUI.

Schemas: list_tools.

Similar MCP servers

More from io.github.idragulin

Official server.json
{
  "name": "io.github.idragulin/cuisor",
  "title": "cuisor.ro",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://cuisor.ro/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.29.1",
  "websiteUrl": "https://cuisor.ro",
  "description": "Romanian company register: identity, filed financials, procurement, court records by name or CUI."
}