# FNS Counterparty Check

> Use this tool when you need to verify the legitimacy and status of Russian business entities, such as during due diligence or risk assessment processes. The FNS Counterparty Check aggregates data from public registries, including EGRUL/EGRIP and bankruptcy records, and returns verdicts on the entity's status, including safe to proceed, manual review required, high risk, or defunct. It accepts INN or OGRN identifiers as input and provides a deterministic output to inform business decisions.

Canonical page: https://skillsregistry.net/skills/atomno-labs-fns-check  
JSON: https://api.skillsregistry.net/v1/skills/atomno-labs-fns-check

## Description

This server enables AI agents to verify Russian business entities by aggregating data from Federal Tax Service (FNS) public registries including EGRUL/EGRIP, bankruptcy records, court filings, and enforcement databases. The primary tool accepts INN or OGRN identifiers and returns deterministic verdicts including safe to proceed, manual review required, high risk, or defunct status.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/atomno-labs-fns-check)
- **Repository:** <https://github.com/atomno-labs/mcp-fns-check>

## 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": "atomno-labs-fns-check"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atomno-labs-fns-check` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atomno-labs-fns-check/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
