# sec-edgar-mcp

> sec-edgar-mcp — stevielkim-sec-edgar-mcp. Use this tool when you need to access and analyze SEC EDGAR filings in a natural-language format, solving problems such as company research, financial data retrieval, and insider transaction tracking. It takes in natural-language queries as input and outputs relevant filing information, financial figures, and comparisons over streamable HTTP. Ideal for use cases requiring efficient and intuitive access to SEC filings, such as investment research, financial analysis, and regulatory compliance.

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

## Description

An MCP server that provides natural-language access to SEC EDGAR filings, including company lookups, financial figures, insider transactions, and filing comparisons, over streamable HTTP for any MCP client.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y9kk2aslj9)
- **Repository:** <https://github.com/stevielkim/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": "stevielkim-sec-edgar-mcp"
    }
  }
}
```

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