# sec-engine

> sec-engine — kenningai-sec-engine. Use this tool when you need to access and analyze SEC EDGAR financial data for informed decision-making or research. The sec-engine provides a seamless interface for Large Language Models (LLMs) to retrieve and process financial data, solving problems related to data accessibility and integration. It accepts queries and returns relevant financial data, making it an ideal solution for applications requiring up-to-date and accurate financial information.

Canonical page: https://skillsregistry.net/skills/kenningai-sec-engine  
JSON: https://api.skillsregistry.net/v1/skills/kenningai-sec-engine

## Description

MCP server exposing SEC EDGAR financial data to LLMs

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/kenningai/sec-engine)

## 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": "kenningai-sec-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kenningai-sec-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kenningai-sec-engine/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