toolstem-sec-mcp-server
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.
README
SEC EDGAR MCP Server — Insider Signals, 13F Holdings & Filing Intelligence
SEC EDGAR intelligence for AI agents. Five tools that answer the questions that matter: insider Form 4 trading signals, SC 13D activist risk flags, 10-K/8-K filing velocity, 8-K material event severity (RED/YELLOW/GREEN), and multi-company disclosure comparisons — all returned as structured JSON, direct from SEC EDGAR. No API key required.
Why this exists
Existing SEC data tools give agents paginated filing lists and raw XML. Agents then have to parse, classify, and derive signals themselves — burning context window on bureaucratic extraction instead of analysis.
Toolstem SEC MCP Server pre-computes five high-value signals directly from SEC EDGAR's public submissions API, returning structured, agent-ready JSON. No third-party data providers, no API keys, no per-symbol fees — just SEC EDGAR's authoritative source with a rate-limiter that keeps you off their blocklist.
The five tools
1. get_company_filings_summary
Overview of a company's filing activity: last 20 filings + computed signals.
| Signal | Description |
|---|---|
filing_velocity |
ACCELERATING / NORMAL / SLOWING vs. trailing 365-day average |
material_event_count_90d |
Count of 8-K filings in the last 90 days |
disclosure_volume_trend |
RISING / STABLE / FALLING based on 10-K size comparison |
latest_form_types |
Unique form types filed in the last 90 days |
Example output (abbreviated):
{
"ticker": "AAPL",
"cik": "0000320193",
"company_name": "Apple Inc.",
"signals": {
"filing_velocity": "NORMAL",
"material_event_count_90d": 4,
"disclosure_volume_trend": "RISING",
"latest_form_types": ["8-K", "4", "DEF 14A"]
},
"meta": { "source": "sec_edgar_direct", "data_delay": "live" }
}
2. get_insider_signal
Probes Form 3/4/4A insider filing activity within a lookback window.
Returns: recent_insider_filings (accession numbers + SEC URLs for Forms 3/4/4A), lookback_days, and counts.
v0.1 note: When at least one Form 3/4/4A filing exists in the lookback window,
insider_signalisnull("direction unknown — Form 4 XML parsing ships in v0.2"). When no insider filings exist in the window,insider_signalis"NEUTRAL"("verified absence of activity").buy_countandsell_countare 0 in v0.1.
Example output (abbreviated):
{
"ticker": "MSFT",
"cik": "0000789019",
"company_name": "MICROSOFT CORP",
"lookback_days": 90,
"insider_signal": null,
"net_transaction_count": 0,
"buy_count": 0,
"sell_count": 0,
"recent_insider_filings": [
{
"accession_number": "0001127602-26-001234",
"filing_date": "2026-04-15",
"sec_url": "https://www.sec.gov/Archives/edgar/data/789019/000112760226001234/0001127602-26-001234-index.htm"
}
],
"meta": { "source": "sec_edgar_direct", "data_delay": "live" }
}
3. get_institutional_signal
Probes for activist investor activity via SC 13D / 13D/A filings.
| Field | Description |
|---|---|
activist_risk_flag |
true if any SC 13D or 13D/A was filed in the last 365 days |
recent_13d_filings |
List of 13D filings with form type, date, and SEC URL |
v0.1 note:
institutional_signalandrecent_13f_countare null/0. Quarterly 13F XBRL/XML parsing (ACCUMULATING / HOLDING / DISTRIBUTING) ships in v0.2.
Example output (abbreviated):
{
"ticker": "NVDA",
"cik": "0001045810",
"company_name": "NVIDIA CORP",
"quarters_back": 4,
"institutional_signal": null,
"recent_13f_count": 0,
"activist_risk_flag": false,
"recent_13d_filings": [],
"meta": { "source": "sec_edgar_direct", "data_delay": "live" }
}
4. get_material_events_digest ⚡ premium ($0.50)
Severity-ranked digest of all 8-K and 8-K/A filings within a lookback window. Maps each item code to a plain-English label and severity rating.
| Severity | Examples |
|---|---|
| 🔴 RED | Cybersecurity incident (1.05), restatement (4.02), bankruptcy (1.03), delisting (3.01) |
| 🟡 YELLOW | Acquisition (2.01), new debt (2.03), executive departure (5.02) |
| 🟢 GREEN | Earnings release (2.02), Reg FD (7.01), shareholder vote (5.07) |
Returns: events[] (sorted newest-first), redflag_count, category_counts.
Example output (abbreviated):
{
"ticker": "TSLA",
"cik": "0001318605",
"company_name": "Tesla, Inc.",
"lookback_days": 180,
"redflag_count": 1,
"category_counts": { "RED": 1, "YELLOW": 3, "GREEN": 7 },
"events": [
{
"accession_number": "0001628280-26-005678",
"filing_date": "2026-04-10",
"form": "8-K",
"items": [
{ "code": "4.02", "label": "Non-Reliance on Previously Issued Financial Statements", "category": "financial", "severity": "RED" }
],
"sec_url": "https://www.sec.gov/Archives/edgar/data/1318605/000162828026005678/0001628280-26-005678-index.htm"
}
],
"meta": { "source": "sec_edgar_direct", "data_delay": "live" }
}
5. compare_disclosure_signals
Side-by-side comparison of 2-5 companies across all key disclosure signals. All lookups run in parallel.
Returns per-company: filing_velocity, material_event_count_90d, redflag_count_365d, activist_risk_flag, last_filing_date.
Returns winners (as CIKs, not tickers — cross-reference with the companies[] array): quietest_disclosure, most_active, most_redflags, activist_targets.
Example output (abbreviated):
{
"companies": [
{
"ticker": "AAPL",
"cik": "0000320193",
"filing_velocity": "NORMAL",
"material_event_count_90d": 4,
"redflag_count_365d": 0,
"activist_risk_flag": false,
"last_filing_date": "2026-04-25"
},
{
"ticker": "MSFT",
"cik": "0000789019",
"filing_velocity": "ACCELERATING",
"material_event_count_90d": 7,
"redflag_count_365d": 0,
"activist_risk_flag": false,
"last_filing_date": "2026-04-26"
}
],
"winners": {
"quietest_disclosure": "0000320193",
"most_active": "0000789019",
"most_redflags": null,
"activist_targets": []
},
"meta": { "source": "sec_edgar_direct", "data_delay": "live" }
}
Pricing
All calls are billed on a per-result basis via Apify's Pay-Per-Event (PPE) system. Pricing is charged at the time the tool returns its result.
| Tool | Tier | Price per call |
|---|---|---|
get_company_filings_summary |
Cheap | $0.005 |
get_insider_signal |
Standard | $0.05 |
get_institutional_signal |
Standard | $0.05 |
get_material_events_digest |
Premium | $0.50 |
compare_disclosure_signals |
Premium | $0.50 |
Default-demo probes (Actor runs with no tool input) are free — they serve a cached result and do not fire a PPE charge. This keeps directory health-check probes and first-time evaluations cost-free. Apify retains a 20 % commission on all PPE revenue; the prices above are gross amounts.
Installation
npm (MCP stdio transport)
npm install -g toolstem-sec-mcp-server
Add to your MCP client config (Claude Desktop, Cursor, etc.):
{
"mcpServers": {
"toolstem-sec": {
"command": "toolstem-sec-mcp-server"
}
}
}
No API key required.
Hosted on Apify
Run the Actor directly or connect via the MCP gateway:
https://mcp.apify.com/?tools=toolstem/toolstem-sec-mcp-server
Actor input example:
{
"tool": "get_material_events_digest",
"ticker_or_cik": "TSLA",
"lookback_days": 365
}
HTTP server (self-hosted)
npm install -g toolstem-sec-mcp-server
toolstem-sec-mcp-server --http
# Listens on http://0.0.0.0:3000/mcp
SEC EDGAR fair-access policy
All outbound traffic goes through a shared sliding-window rate limiter (8 rps target, 4 rps safety margin below SEC's 10 rps hard cap). Every request includes a User-Agent header identifying the package and a contact email per SEC policy. Override the contact email via:
SEC_USER_AGENT_CONTACT=you@yourorg.com toolstem-sec-mcp-server
Violating SEC's fair-access policy can result in your IP being blocked. This server is designed to stay compliant automatically.
v0.2 roadmap
- Form 4 XML parsing — direction-aware insider signals (
STRONG_BUYING/BUYING/NEUTRAL/SELLING/STRONG_SELLING) with net share counts - 13F XBRL parsing — quarterly institutional flow signals (
ACCUMULATING/HOLDING/DISTRIBUTING) with institution count - 8-K text extraction — natural-language summaries of each material event from the filing's primary HTML document
License & author
MIT License — see LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.