mcp-registry/io.github.idragulin/cuisor · v1.29.1
As of 2026-10-27 01:26 UTC, the Idragulin Cuisor MCP server is up with a Glimind reliability score of 75/100 (grade B). Over the last 30 days it answered 99.5% of Glimind's liveness checks. It had 50 outages in 90 days, with a median recovery of 7 minutes.
Romanian company register: identity, filed financials, procurement, court records by name or CUI.
Point your MCP client at this streamable-http endpoint: https://cuisor.ro/mcp
12 of 12 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →
37 parameter(s) across 11 tool(s) have no description.
Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →
No tool declares an outputSchema.
Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 11 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.idragulin%2Fcuisor/fixes
{
"name": "company_stats",
"description": "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_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 `cov",
"inputSchema": {
"type": "object",
"title": "company_stats_toolArguments",
"properties": {
"agg": {
"type": "string",
"title": "Agg",
"default": "avg"
},
"cui": {
"type": "string",
"title": "Cui",
"default": ""
},
"caen": {
"type": "string",
"title": "Caen",
"default": ""
},
"year": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Year",
"default": null
},
"judet": {
"type": "string",
"title": "Judet",
"default": ""
},
"years": {
"type": "string",
"title": "Years",
"default": ""
},
"metric": {
"type": "string",
"title": "Metric",
"default": "net_turnover_ron"
},
"status": {
"type": "string",
"title": "Status",
"default": ""
},
"group_by": {
"type": "string",
"title": "Group By",
"default": ""
},
"caen_query": {
"type": "string",
"title": "Caen Query",
"default": ""
},
"min_turnover": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"title": "Min Turnover",
"default": null
},
"registered_after": {
"type": "string",
"title": "Registered After",
"default": ""
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "fetch",
"description": "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 this exact name.",
"inputSchema": {
"type": "object",
"title": "fetch_toolArguments",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"title": "Id"
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "get_company",
"description": "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 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 ag",
"inputSchema": {
"type": "object",
"title": "get_company_toolArguments",
"required": [
"cui"
],
"properties": {
"cui": {
"type": "string",
"title": "Cui"
},
"include": {
"anyOf": [
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"title": "Include",
"default": null
}
}
},
"annotations": {
"readOnlyHint": true
}
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.idragulin/cuisor"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.idragulin/cuisor"}) over MCP.
list_companies ~402 tokenscompany_stats ~392 tokensget_company ~221 tokenssearch_companies ~209 tokensresolve_caen ~187 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fio.github.idragulin%2Fcuisor?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.idragulin%2Fcuisor?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.idragulin%2Fcuisor.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.idragulin%2Fcuisor.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.idragulin%2Fcuisor?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:75b0e92455cb9702…, first seen 2026-10-17, included at leaf 1679 of 76,589. Version history · verify what your client received.
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Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-27 01:26 UTC, the Idragulin Cuisor MCP server is up with a Glimind reliability score of 75/100 (grade B). Over the last 30 days it answered 99.5% of Glimind's liveness checks. It had 50 outages in 90 days, with a median recovery of 7 minutes.
Idragulin Cuisor MCP server advertises 12 tools, including company_stats, fetch, get_company, get_financials, get_legal.
Point your MCP client at this streamable-http endpoint: https://cuisor.ro/mcp
Glimind scanned all 12 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.