# io.magellandata/spotlight

> io.magellandata/spotlight — sorrek-mcp. Use this tool when you need to uncover corporate ownership structures and relationships through natural language queries. It solves problems related to identifying parent companies, private equity backing, and corporate families, providing valuable intelligence for business research and due diligence. The tool accepts natural language queries as input and outputs detailed corporate ownership information, making it ideal for use cases requiring quick and accurate lookup of company relationships.

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

## Description

Hosted MCP server providing corporate ownership intelligence, enabling AI agents to look up parent companies, PE backing, corporate families, and portfolio siblings via natural language queries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/esygkwpvmm)
- **Repository:** <https://github.com/sorrek/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": "sorrek-mcp"
    }
  }
}
```

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