# toolstem-sec-mcp-server

> Use this tool when you need to analyze SEC EDGAR data for signal intelligence, such as tracking insider trading, 13F holdings, and activist risk flags. It provides multi-company comparisons and filing velocity insights, solving problems related to investment research and risk assessment. The tool accepts company and filing parameters as input and outputs detailed intelligence reports, making it ideal for use cases involving financial analysis and due diligence.

Canonical page: https://skillsregistry.net/skills/toolstem-toolstem-sec-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/toolstem-toolstem-sec-mcp-server

## Description

MCP server providing SEC EDGAR signal intelligence — insider trading (Form 4), 13F holdings, filing velocity, activist risk flags, and multi-company comparisons. Already on the official MCP Registry, awesome-mcp-servers (PR #5664 pending), and Apify Store with three-tier pay-per-event pricing. MIT license, TypeScript, comprehensive README.

## Trust

- **Trust score (0–1):** 0.93
- **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:** [Glama](https://glama.ai/mcp/servers/eailso8y2x)
- **Repository:** <https://github.com/toolstem/toolstem-sec-mcp-server>

## 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": "toolstem-toolstem-sec-mcp-server"
    }
  }
}
```

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

---
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