# Regulatory Filings MCP — SEC, 13F & Insider for AI Agents (`nexgendata/regulatory-filings-mcp`) Actor

MCP server exposing SEC filings — 13F, Form 4, 8-K, 13D, IPO and short-interest data — as 17 agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK. Not investment advice.

- **URL**: https://apify.com/nexgendata/regulatory-filings-mcp.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** MCP servers, AI
- **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Regulatory Filings MCP

A Model Context Protocol server that gives AI agents SEC filing and corporate-disclosure data — 13F holdings, insider trades, 8-K events, IPO and short-interest — as callable tools. For markets-research agents. Factual public data — not financial or investment advice. Not affiliated with or endorsed by the U.S. SEC.

### 🛠 Tools (17)

- `detect_insider_cluster` — Flag clustered insider transactions.
- `get_13f_delta` — Quarter-over-quarter 13F holdings changes.
- `get_analyst_targets` — Analyst price targets.
- `get_dividend_aristocrats` — Dividend-aristocrat list.
- `get_earnings_calendar` — Upcoming earnings dates.
- `get_earnings_estimates` — Consensus earnings estimates.
- `get_form_13f_holdings` — Institutional 13F holdings.
- `get_form_4_insider_trades` — Form 4 insider transactions.
- `get_form_8k_material_events` — Form 8-K material-event filings.
- `get_form_d_private_funding` — Form D private-offering filings.
- `get_ipo_calendar` — IPO calendar.
- `get_options_unusual_activity` — Unusual options-activity records.
- `get_pre_ipo_secondary` — Pre-IPO secondary-market data.
- `get_schedule_13d_activist` — Schedule 13D activist stakes.
- `get_short_interest` — Short-interest data.
- `get_stock_splits_corporate_actions` — Stock splits and corporate actions.
- `get_swf_holdings` — Sovereign-wealth-fund holdings.

### 🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

```json
{
  "mcpServers": {
    "regulatory-filings": {
      "url": "https://nexgendata--regulatory-filings-mcp.apify.actor/mcp"
    }
  }
}
```

**Sample agent prompt:**

```
Pull the latest Form 4 insider trades and 13F holdings changes for a given ticker.
```

**Pricing:** $1.00 per tool call (Pay-Per-Event). Runs in Standby mode. A call returns from a single filing to ~26 (e.g. the earnings calendar); priced to the typical multi-record call.

***

### Related actors

- [SEC EDGAR Filings by Ticker — 10-K, 10-Q, 8-K](https://apify.com/nexgendata/sec-edgar-filings-scraper)
- [SEC EDGAR Full-Text Search — keyword & date filter](https://apify.com/nexgendata/sec-edgar-search)
- [SEC Filings to Markdown for RAG](https://apify.com/nexgendata/sec-filings-rag-markdown)
- [SEC XBRL Financial Frames — peer comparison](https://apify.com/nexgendata/sec-xbrl-financial-frames)
- [SEC Litigation Releases — enforcement tracker](https://apify.com/nexgendata/sec-litigation-releases)

Full catalog: [apify.com/nexgendata](https://apify.com/nexgendata)

# Actor input Schema

## `enableServer` (type: `boolean`):

Enable MCP server mode (required for MCP usage)

## `port` (type: `integer`):

Port to run the MCP server on

## Actor input object example

```json
{
  "enableServer": true,
  "port": 3000
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "enableServer": true,
    "port": 3000
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/regulatory-filings-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "enableServer": True,
    "port": 3000,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/regulatory-filings-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "enableServer": true,
  "port": 3000
}' |
apify call nexgendata/regulatory-filings-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/regulatory-filings-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Rfoht1EMXyUllA8bY/builds/YkVkoUflTkqKxg5C9/openapi.json