# Firmaradar

> Use this tool when you need to gather comprehensive intelligence on Norwegian companies, including ownership, financials, and risk assessments. Firmaradar solves problems related to due diligence, KYC/AML/PEP compliance, and business decision-making by fusing multiple data sources into decision-ready insights. It takes company names or IDs as input and outputs enriched data, risk scores, and screening results, making it ideal for use cases involving company verification, partner evaluation, or investment research.

Canonical page: https://skillsregistry.net/skills/tiwas-firmaradar-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tiwas-firmaradar-mcp

## Description

Multi-source enrichment platform for Norwegian company intelligence: search, ownership down to individual shareholders, roles, financials, risk scoring, and KYC/AML/PEP screening. Fuses Brønnøysundregistrene, the Tax Administration's shareholder registry, and foreign PEP/sanctions sources into decision-ready insights — 25 tools, remote MCP with OAuth 2.0.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/padc3z1d45)
- **Repository:** <https://github.com/Tiwas/firmaradar-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tiwas-firmaradar-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tiwas-firmaradar-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tiwas-firmaradar-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt