@signal8ai/mcp

MCP (Model Context Protocol) server for Signal8 -- AI-extracted SEC filing intelligence data.

Gives AI agents like Claude, Cursor, and other MCP-compatible tools direct access to:

• Company fundamentals (quotes, financials, earnings, float, executives, peers, news)

• Dilution risk scoring (0-100 Dilution Pressure Score with 5-dimension assessment)

• SEC filing extractions (warrants, convertibles, shelf registrations, and 10 more types)

• Instrument lifecycle tracking (warrants, convertibles, ATMs with XBRL reconciliation)

• Intelligence (counterparties, counsel, insiders, institutions, ROFR triggers, cluster buys)

• Cross-company intelligence (top AUM institutions, cross-company counsel & insider patterns)

• Compliance monitoring (Nasdaq/NYSE deficiency detection, listing classification)

• Company screening (dilution-aware filters with 30+ fields)

• ETF analysis (holdings, sectors, countries, performance, comparables)

Installation

npm install -g @signal8ai/mcp
# or use npx (no install needed)
npx @signal8ai/mcp

Related MCP server: DebtStack MCP Server

Setup

1. Get your API key

Sign up at signal8.ai/mcp and create a key at signal8.ai/settings/api-keys to get your API key.

2. Configure your MCP client

Claude Desktop

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "signal8": {
      "command": "npx",
      "args": ["-y", "@signal8ai/mcp"],
      "env": {
        "SIGNAL8_API_KEY": "sk_live_your_key_here"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "signal8": {
      "command": "npx",
      "args": ["-y", "@signal8ai/mcp"],
      "env": {
        "SIGNAL8_API_KEY": "sk_live_your_key_here"
      }
    }
  }
}

Other MCP Clients

Set the SIGNAL8_API_KEY environment variable and run:

SIGNAL8_API_KEY=sk_live_your_key_here npx @signal8ai/mcp

Available Tools (86)

The server exposes 86 live tools at runtime. The reference tables below are a representative catalog grouped by domain; several documented tools and whole categories (e.g. Extractions and Dilution) are currently disabled and are not registered live, so individual section counts below may exceed what is actually exposed.

Companies (3 tools)

Company Data (13 tools)

Market — Cross-Ticker (6 tools)

Calendar (5 tools)

Extractions (4 tools)

Dilution (5 tools)

Intelligence — Per-Company (12 tools)

Intelligence — Cross-Company (3 tools)

Compliance (4 tools)

Screener (2 tools)

Events & ATM (2 tools)

ETF (1 tool)

Market Intelligence — Tool Reference

Cross-ticker market and calendar tools that operate over the entire universe rather than a single company. The single-ticker get_quote tool is included here for completeness; the rest were added in the Market Intelligence rollout.

get_quote

Real-time quote for a single ticker (price, change, volume, day range).

Inputs:

Sample output (regular trading hours, 9:30am–4:00pm ET):

{
  "data": {
    "ticker": "AAPL",
    "currentPrice": 178.42,
    "change": 2.15,
    "changePercent": 1.22,
    "high": 179.10,
    "low": 176.80,
    "open": 177.05,
    "previousClose": 176.27,
    "preMarketPrice": null,
    "preMarketChangePercent": null,
    "afterHoursPrice": null,
    "afterHoursChangePercent": null,
    "timestamp": 1714492800
  }
}

Sample output (extended hours — pre-market or after-hours):

{
  "data": {
    "ticker": "AAPL",
    "currentPrice": 178.42,
    "change": 2.15,
    "changePercent": 1.22,
    "high": 179.10,
    "low": 176.80,
    "open": 177.05,
    "previousClose": 176.27,
    "preMarketPrice": 179.05,
    "preMarketChangePercent": 0.35,
    "afterHoursPrice": 178.90,
    "afterHoursChangePercent": 0.27,
    "timestamp": 1714492800
  }
}

Extended-hours windows (US equities, ET): pre-market 4:00am–9:30am, after-hours 4:00pm–8:00pm. Outside those windows preMarketPrice, preMarketChangePercent, afterHoursPrice, and afterHoursChangePercent are null. In practice only one pair is populated at a time depending on the current window — the second example shows both populated for illustration.

Use case: "What is AAPL trading at right now?"

get_quotes_batch

Fetch real-time quotes for up to 200 tickers in one call. Backed by POST /api/v1/public/market/quotes. Tickers absent from the upstream feed map to null.

Inputs:

Sample output:

{
  "data": {
    "count": 3,
    "quotes": {
      "AAPL": { "ticker": "AAPL", "currentPrice": 178.42, "changePercent": 1.22 },
      "MSFT": { "ticker": "MSFT", "currentPrice": 412.10, "changePercent": 0.41 },
      "NVDA": null
    }
  }
}

Use case: "Pull live quotes for my entire 50-ticker watchlist in one call."

get_quotes_universe

Quotes for all constituents of a known index universe (S&P 500, Nasdaq 100, or Dow 30).

Inputs:

Sample output:

{
  "data": {
    "universe": "dji",
    "count": 30,
    "quotes": {
      "AAPL": { "currentPrice": 178.42, "changePercent": 1.22 },
      "MSFT": { "currentPrice": 412.10, "changePercent": 0.41 }
    }
  }
}

Use case: "Give me a live snapshot of every Dow 30 component."

get_index_snapshot

Bulk daily snapshot (OHLC, volume, % change) for an explicit ticker list (max 50) or the full tracked universe when omitted.

Inputs: none required (optional tickers query when called via REST)

Sample output:

{
  "data": {
    "count": 2,
    "snapshots": [
      { "ticker": "SPY", "close": 512.34, "changePercent": 0.42, "volume": 78321000 },
      { "ticker": "QQQ", "close": 438.21, "changePercent": 0.55, "volume": 41902000 }
    ]
  }
}

Use case: "Show me a one-shot snapshot of where the index ETFs closed."

get_sector_etf_snapshot

Snapshot of the 11 SPDR sector ETFs (XLK, XLF, XLV, XLY, XLP, XLE, XLI, XLB, XLRE, XLU, XLC) with a sector label per row. Useful for sector-rotation views.

Inputs: none

Sample output:

{
  "data": {
    "count": 11,
    "sectors": [
      { "ticker": "XLK", "sector": "Technology", "close": 218.40, "changePercent": 0.85 },
      { "ticker": "XLF", "sector": "Financials", "close": 41.23, "changePercent": -0.12 }
    ]
  }
}

Use case: "Which sectors are leading and lagging today?"

get_top_movers

Top market movers by direction (gainers, losers, or most-active by volume), computed from ticker_snapshots. Excludes warrants/units/ETFs/funds.

Inputs:

Sample output:

{
  "data": {
    "direction": "gainers",
    "session": "regular",
    "count": 2,
    "movers": [
      { "rank": 1, "ticker": "XYZ", "name": "Acme Corp", "price": 12.34, "changePercent": 42.1, "volume": 12000000, "marketCap": 350000000, "isETF": false },
      { "rank": 2, "ticker": "ABC", "name": "ABC Inc", "price": 5.62, "changePercent": 31.8, "volume": 8400000, "marketCap": 120000000, "isETF": false }
    ]
  }
}

Use case: "What are today's top 10 gainers?"

get_market_breadth

Market breadth aggregates (advance/decline counts and ratio, % of constituents trading above their 50DMA / 200DMA, and counts of new 52-week highs/lows) for a chosen universe. Point-in-time only — no historical breadth.

Inputs:

Sample output:

{
  "data": {
    "universe": "sp500",
    "asOf": "2026-04-30T20:00:00.000Z",
    "advancers": 312,
    "decliners": 175,
    "unchanged": 16,
    "advanceDeclineRatio": 1.7828571428571428,
    "pctAbove50DMA": 0.642,
    "pctAbove200DMA": 0.561,
    "new52wHighs": 18,
    "new52wLows": 4
  }
}

Use case: "How many S&P 500 names are above their 200DMA right now?" or "Add a one-line market-state header to today's commentary tweet."

get_earnings_calendar

Forward-looking and recent earnings releases between two dates. Optionally filter to a list of tickers.

Inputs:

Sample output:

{
  "data": {
    "events": [
      { "ticker": "AAPL", "date": "2026-05-02", "time": "AMC", "epsEstimate": 1.50, "revenueEstimate": 90100000000 }
    ],
    "total": 1,
    "limit": 50,
    "offset": 0
  }
}

Use case: "Which mega-caps report earnings next week?"

get_economic_calendar

Macroeconomic events (CPI, FOMC, NFP, GDP, etc.) between two dates, filtered by country and impact level.

Inputs:

Sample output:

{
  "data": {
    "events": [
      { "date": "2026-05-07", "country": "US", "event": "FOMC Rate Decision", "impact": "High", "actual": null, "forecast": "5.25%", "previous": "5.25%" }
    ],
    "total": 1
  }
}

Use case: "What high-impact US events land this week?"

get_filing_calendar

Forward-looking 10-K / 10-Q SEC filing-deadline calendar by index universe. Deadlines computed from each company's last-reported period end + filer-status offset.

Inputs:

Sample output:

{
  "data": {
    "rows": [
      {
        "ticker": "AAPL", "companyName": "Apple Inc.",
        "formType": "10-Q", "periodEnd": "2026-03-29",
        "deadline": "2026-05-13", "daysUntilDeadline": 13,
        "filerStatus": "large_accelerated"
      }
    ],
    "count": 1,
    "window": { "from": "2026-04-30", "to": "2026-06-14" },
    "universe": "sp500",
    "formTypes": ["10-K", "10-Q"]
  }
}

Use case: "Which S&P 500 names have a 10-Q deadline in the next two weeks?"

get_lockup_expirations

Upcoming IPO/secondary lockup expirations within a date window. Derived from underwriting-terms extractions (S-1 / F-1 / 424B*) — coverage is partial; check meta.coveragePercent.

Inputs:

Sample output:

{
  "data": {
    "rows": [
      {
        "ticker": "NEWCO", "companyName": "NewCo Inc.",
        "lockupEndDate": "2026-05-21", "daysUntilExpiry": 21,
        "originalFilingType": "S-1", "sharesUnlocking": 24500000,
        "sourceFilingUrl": "https://sec.gov/..."
      }
    ],
    "meta": {
      "coveragePercent": 38.4,
      "totalCandidates": 412,
      "parsedCount": 158,
      "windowStart": "2026-04-30",
      "windowEnd": "2026-07-29",
      "universe": "all"
    }
  }
}

Use case: "Any IPO lockup expirations coming up in the next 30 days?"

get_recent_material_filings

Recent 8-K filings flagged as materially significant within a named index universe, optionally filtered by item codes (e.g. 1.01 material agreement, 5.02 leadership change). Lookback fixed at 7 days.

Inputs:

Sample output:

{
  "data": {
    "universe": "sp500",
    "items": ["1.01", "5.02"],
    "count": 1,
    "filings": [
      {
        "ticker": "AAPL", "companyName": "Apple Inc.",
        "filingDate": "2026-04-29T20:15:00Z", "formType": "8-K",
        "items": ["1.01"], "filingUrl": "https://sec.gov/...",
        "summary": "Material definitive agreement entered into..."
      }
    ]
  }
}

Use case: "Any S&P 500 leadership-change 8-Ks filed this week?"

Resources

Prompts (4)

Hosted Endpoint

For web-based MCP clients, use the hosted Streamable HTTP endpoint:

POST https://mcp.signal8.ai/mcp
Authorization: Bearer sk_live_your_key_here
Content-Type: application/json

This Streamable HTTP endpoint works today with MCP clients that support custom bearer-token headers (e.g. Claude Code CLI's --transport http connector, Cursor, and VS Code's MCP support). OAuth-based discovery for the Claude.ai Desktop/web custom connector is coming soon — until then, use the local stdio config (npx) shown above, or pass the Authorization header directly where your client allows it.

Environment Variables

Pricing

Each tool call consumes credits based on the endpoint it accesses. See credit costs in the tools table above. Get your free tier (100 credits/day) at signal8.ai.

Programmatic Usage

import { createMcpServer, Signal8ApiClient } from '@signal8ai/mcp';

const client = new Signal8ApiClient({
  baseUrl: 'https://api.signal8.ai/api/v1/public',
  apiKey: 'sk_live_xxx',
});

const server = createMcpServer(client);
// Connect to any MCP transport...

License

MIT -- see the LICENSE file. Copyright (c) 2025-2026 Signal8 AI, Inc.

Use of the hosted Signal8 API and data is additionally governed by the Signal8 Terms of Service.