# SEC EDGAR

> Use this tool when you need to access and analyze SEC EDGAR filings data, such as proxy statements and Form 4 filings, to extract executive compensation information and insider trading details. It provides a convenient interface for retrieving and parsing regulatory filings into structured CSV format. Ideal for financial analysis workflows that require efficient data extraction from SEC filings without leaving the conversation interface.

Canonical page: https://skillsregistry.net/skills/flothjl-edgar-sec  
JSON: https://api.skillsregistry.net/v1/skills/flothjl-edgar-sec

## Description

edgar-sec-mcp is an MCP server that enables AI agents to access and analyze SEC EDGAR filings data. Built by Josh Floth, it provides tools for retrieving proxy statements containing executive compensation information and Form 4 filings for insider trading details. The implementation uses the SEC's public API with proper user-agent headers, parses HTML tables from filings into CSV format, and handles CIK lookups by ticker symbol with caching support. Particularly valuable for financial analysis workflows that require extracting structured data from regulatory filings without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/flothjl-edgar-sec)
- **Repository:** <https://github.com/flothjl/edgar-sec-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": "flothjl-edgar-sec"
    }
  }
}
```

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