# io.github.stefanoamorelli/sec-edgar-mcp

> Use this tool when you need to access and retrieve US public company filings through the US SEC EDGAR API, solving problems of data collection and compliance for financial analysis and research. It provides a server-based interface to fetch and process filings, taking API requests as input and returning relevant data as output. Ideal for use cases requiring automated or programmatic access to SEC EDGAR data, such as financial modeling, risk assessment, and regulatory compliance.

Canonical page: https://skillsregistry.net/skills/io-github-stefanoamorelli-sec-edgar-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-stefanoamorelli-sec-edgar-mcp

## Description

SEC EDGAR MCP server that provides access to the US public filings through the US SEC EDGAR API

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.5
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.stefanoamorelli%2Fsec-edgar-mcp)
- **Repository:** <https://github.com/stefanoamorelli/sec-edgar-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": "io-github-stefanoamorelli-sec-edgar-mcp"
    }
  }
}
```

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