Signal8 MCP

SEC filing data for US stocks: small-cap dilution (warrants, ATMs, shelf registrations, convertibles, cash runway) cited to the filing sentence, plus insider and congressional trades, halts and reverse splits.

GitHub

Размещённый MCP-сервер

npx add-mcp 'https://mcp.signal8.ai/mcp'

Устанавливается в Claude Code, Codex, Cursor и другие

Документация

@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 analysis (warrants, convertibles, preferred, shelf registrations, ATMs, equity lines and S-1 offerings, each figure cited to the SEC filing it was read from)
Dilution Pressure Score (0-100, seven components: shelf capacity, ATM/equity-line capacity, warrants in the money, convertible proximity, cash burn, historical dilution, toxic financing)
Baby shelf capacity (S-3 General Instruction I.B.6 one-third-of-float cap, recomputed from the live float)
Cash runway (cash position, monthly burn, capital raises since the last balance sheet)
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

Setup

1. Get your API key

API and MCP access are included with Signal8 Pro ($59/mo, or $588/yr). A free Signal8 account cannot create API keys. Upgrade at signal8.ai/pro, then create a key in the developer portal at signal8.ai/developer/api-keys.

Using Claude.ai or Claude Desktop? You can skip the key entirely: add the hosted server as a custom connector and sign in with your Signal8 account (see Hosted Endpoint).

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 (107)

The server exposes 104 live tools at runtime. The reference tables below are a representative catalog grouped by domain, not an exhaustive list; the Extractions section documents tools that are currently disabled and not registered live. The authoritative list is what tools/list returns.

Companies (3 tools)

Tool	Description
`search_companies`	Search companies by name or ticker
`get_company_profile`	Full company profile (description, market cap, sector)
`get_company_bundle`	Consolidated data bundle in one call

Company Data (13 tools)

Tool	Description
`get_quote`	Real-time stock quote (price, change, volume)
`get_market_metrics`	Volume averages, volatility, SMAs, trend direction
`get_short_interest`	Short interest data and days-to-cover
`get_float`	Float composition, shares outstanding, ownership %
`get_financials`	Income statement, balance sheet, cash flow
`get_earnings`	Earnings history with EPS surprises
`get_executives`	Executive team roster and compensation
`get_peers`	Peer/comparable companies
`get_transcripts`	Earnings call transcripts
`get_news`	Latest company news headlines
`get_analyst_consensus`	Analyst ratings and price targets
`get_material_events`	Material corporate events (8-K filings)
`get_clinical_trials`	Clinical trial pipeline (biotech/pharma)

Market — Cross-Ticker (6 tools)

Tool	Description
`get_quotes_batch`	Batch real-time quotes for up to 200 tickers (POST)
`get_quotes_universe`	Quotes for an entire index universe (sp500/ndx/dji)
`get_index_snapshot`	Bulk ticker snapshots (price, day change, % change)
`get_sector_etf_snapshot`	Snapshot of the 11 SPDR sector ETFs with sector labels
`get_top_movers`	Top gainers / losers / most-active by volume (with optional `session` window)
`get_market_breadth`	Advance/decline, % above SMA50/200, 52-week high/low counts

Calendar (5 tools)

Tool	Description
`get_earnings_calendar`	Upcoming/recent earnings releases between two dates
`get_economic_calendar`	Macro/economic events (CPI, FOMC, jobs, GDP) by date and country
`get_filing_calendar`	10-K / 10-Q SEC filing-deadline calendar by universe
`get_lockup_expirations`	Upcoming IPO/secondary lockup expirations
`get_recent_material_filings`	Recent material 8-K filings by index universe and item codes

SEC Filings & EDGAR archive (10 tools)

Backed by Signal8's own archive of SEC EDGAR filings — the archive's held range (see archiveFrom in each response; currently from late 2021, expanding back to 2016 as the history backfill fills in), full-text indexed and updated through the day. Filings older than archiveFrom may be absent, so an empty result is not proof a filing was never made. Record-only rows (bodyStored: false) carry metadata but no body.

Tool	Description
`search_sec_filings`	Filings by CIK, form, date, 8-K items, excluded forms, full-text `q` (`match` exact/stemmed, `sort` newest/relevance, `facets` counts by form/year/8-K item, `understand` on/off, `section` search, `exhibitTypes` — see query syntax below), and company filters (market cap, float, price, sector, industry, exchange, company type, foreign issuer, recent IPO)
`get_filing_documents`	Every document in a filing (type, size, `stored`, `secUrl`) with the `filingId` / `exhibitId` to read each one
`get_filing_structured`	Parsed Form 3/4/5 transactions, 13F holdings (values normalised to dollars), XML SCHEDULE 13D/G
`get_filing_document`	Full text of a filing by filing id
`get_filing_exhibits`	Readable exhibits of a filing, with ids
`get_exhibit_content`	Full text of one exhibit
`search_filing_text`	Exhibit-level full-text search returning the matching passage (`match` exact/stemmed, `sort`, `section`, `exhibitTypes`)
`lookup_accession_number`	Accession number → filing id and metadata
`screen_sec_filings`	Filings across companies by sector / industry / exchange / market cap
`screen_sec_filings_performance`	Price returns +1/+3/+7/+30 days after filings, with aggregates

Full-text query syntax (search_sec_filings.q, search_filing_text.pattern): unquoted words must all appear; "quoted phrase" for exact wording; OR between alternatives; -word to exclude; w1 NEAR/10 w2 (or NEAR(10), bare NEAR = 10) for proximity; word* for a prefix of 4+ letters; $AAPL or a capitalised ticker scopes to that company; a form code (8-K), item 5.02 / 8-K 1.05 and a bare year scope to that form / 8-K item / year. Relevance page 1 shows a few filings per company; meta.diversity names who has more. How the archive read the query is returned in meta.understanding (pass understand: false to search the words literally). facets: true adds per-form / per-year / per-8-K-item counts over the whole result set — absent when not measured, never zero.

Section search + exhibit types (both search tools): section restricts matching to business, risk_factors, cybersecurity, legal_proceedings, mdna, market_risk, controls, ex99 (press releases) or an 8-K item (item_5_02); exhibitTypes keeps filings with e.g. EX-10 (material contracts) or EX-99.1. A section is applied only when meta.sections says so — otherwise meta.unsupported explains that the whole filing was searched. Rows may carry matchedSections (absent = not measured).

Company filters on search_sec_filings follow the same rules as the signal8.ai/sec-filings page: they are applied from the archive only, against the filer's own CIK, on issuer-filed forms only (Form 4, 144 and SCHEDULE 13D/G are dropped and reported in companyFilter.droppedForms). Companies with no measured value for a filter are excluded and counted in companyFilter.unknown. Unknown values return a 400 listing the valid names. If the archive cannot answer, the call fails with COMPANY_FILTER_NOT_APPLIED and a reason rather than returning unfiltered rows.

13F values: the SEC changed the unit of a 13F <value> from thousands of dollars to whole dollars for filings on/after 2023-01-03. get_filing_structured returns valueUsd / totalMarketValueUsd normalised to dollars (null when the unit cannot be determined) next to the raw valueThousands, and valueUnit says which unit the raw number is in.

Extractions (4 tools)

Tool	Description
`get_extractions`	AI-extracted SEC filing data (13 types)
`get_filing_extractions`	Extractions for a specific SEC filing
`get_extraction_dashboard`	Cross-company extraction analytics
`get_extraction_by_type`	Filter extractions by type (warrants, convertibles, etc.)

Dilution (7 tools)

Small-cap dilution analysis read directly from SEC filings. Every figure carries the accession number, filing date and the quoted sentence it came from. Included in Signal8 Pro. Call get_dilution_coverage first: it is the cheapest way to learn whether there is anything to fetch.

Tool	Description
`get_dilution_coverage`	Whether a ticker has a dilution analysis, how fresh it is, and why not if it doesn't
`get_dilution_risk`	Dilution Pressure Score with its seven-component breakdown and risk levels. A partial score is out of `scoreMaxMeasured` (never rescale to /100); `overheadSupply` is total potential dilution excluding shelf (gross warrants/convertibles + ATM/equity line/S-1 at the current price, `details.overheadSupplyBasis`); levels named in `levelsLowerBoundScope` are floors ("at least") when `levelsAreLowerBound` is true; `details.levelBounds` gives each level's floor, ceiling and best estimate (a level whose floor and ceiling agree is exact)
`get_dilution_snapshot`	Potential new shares and % of shares outstanding, cash position and runway, float
`get_dilution_instruments`	One instrument family's rows with per-field SEC citations (warrants, convertibles, preferred, shelfs, atms, elocs, s1_offerings, equity_plans, exchangeables, recent_offerings)
`get_baby_shelf_capacity`	S-3 I.B.6 baby shelf: how much the issuer can raise off its shelf right now
`get_dilution_performance`	How the stock traded after each past offering priced or closed
`get_dilution_history`	Shares-outstanding and cash series with offering overlays

Not measured is not zero. A null, withheld or unavailable figure means Signal8 did not measure it. It never means the company has no warrants, no shelf or no dilution, and the tool descriptions tell the model so.

Use the explain_dilution prompt to walk a ticker's dilution picture in plain English.

Intelligence — Per-Company (12 tools)

Tool	Description
`get_counterparties`	Entity-resolved counterparty relationships
`get_counsel`	Legal counsel engagements with role taxonomy
`get_insiders`	Insider trading discovery and patterns
`get_ownership`	Unified ownership (Form 4 + 13F + 13D/G)
`get_rofr_triggers`	ROFR exercise trigger detection
`get_institutions`	Institutional holders from 13F filings
`get_institution_detail`	Detailed info for a specific institution (by CIK)
`get_institution_holdings`	Full portfolio holdings for an institution
`get_banks`	Investment bank relationships from SEC filings
`get_legal_counsels`	Legal counsel relationships with partner names
`get_insider_transactions`	Detailed Form 4 transaction history
`get_insider_cluster_buys`	Cluster buying pattern detection (3+ insiders in 14 days)

Intelligence — Cross-Company (3 tools)

Tool	Description
`get_institution_top_aum`	Top institutional holders by AUM across all companies
`get_counsel_cross_company`	Law firm engagements across multiple companies
`get_insider_cross_company`	Insider trading patterns across multiple companies

Compliance (4 tools)

Tool	Description
`get_compliance`	Full compliance evaluation
`get_deficiencies`	Listing deficiency detection
`get_compliance_alerts`	Active compliance alerts
`get_listing_classification`	Exchange listing classification

Screener (2 tools)

Tool	Description
`get_screener_fields`	Discover available screening filters
`screen_companies`	Dilution-aware company screener

Events & ATM (2 tools)

Tool	Description
`get_events`	Unified corporate events
`get_atm_activity`	ATM program monitoring

ETF (1 tool)

Tool	Description
`get_etf_bundle`	Aggregated ETF data (profile, holdings, sectors, performance)

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:

Name	Type	Required	Description
ticker	string	yes	Ticker symbol (e.g. `AAPL`)

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:

Name	Type	Required	Description
tickers	string[]	yes	1–200 ticker symbols

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:

Name	Type	Required	Description
universe	enum	yes	One of `sp500`, `ndx`, `dji`

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:

Name	Type	Required	Description
direction	enum	yes	`gainers`, `losers`, or `active`
limit	integer	no	1–100 (backend default applied when omitted)
session	enum	no	`premarket` (4:00–9:30 AM ET), `regular` (default; close-to-close), or `afterhours` (4:00–8:00 PM ET). Use premarket/afterhours when posting outside RTH so rankings reflect the live window.

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:

Name	Type	Required	Description
universe	enum	no	`sp500` (default), `ndx`, or `all`

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:

Name	Type	Required	Description
from	string (YYYY-MM-DD)	yes	Window start
to	string (YYYY-MM-DD)	yes	Window end
tickers	string[]	no	Optional ticker filter

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:

Name	Type	Required	Description
from	string (YYYY-MM-DD)	yes	Window start
to	string (YYYY-MM-DD)	yes	Window end
country	string (ISO-2)	no	Defaults to `US`

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:

Name	Type	Required	Description
from	string (YYYY-MM-DD)	no	Default today
to	string (YYYY-MM-DD)	no	Default today + 45d
universe	enum	no	`sp500`, `ndx`, `dji`, or `all` (default)
formTypes	string[]	no	Subset of `["10-K", "10-Q"]`

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:

Name	Type	Required	Description
from	string (YYYY-MM-DD)	no	Default today
to	string (YYYY-MM-DD)	no	Default today + 90d
universe	enum	no	`sp500`, `ndx`, `dji`, or `all` (default)

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:

Name	Type	Required	Description
universe	enum	yes	`sp500`, `ndx`, or `dji`
items	string[]	no	8-K item codes (e.g. `["1.01", "2.01"]`)
limit	integer	no	1–200 (default 50)

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

Resource	URI	Description
Company Profile	`signal8://companies/{ticker}/profile`	Enriched company profile by ticker
Extraction Types	`signal8://extraction-types`	List of all 13 SEC filing extraction types

Prompts (4)

Prompt	Arguments	Description
`company_due_diligence`	`ticker` (string)	10-step comprehensive due diligence research
`screening_workflow`	`sector?`, `marketCapMax?` (string)	5-step discover-screen-analyze workflow
`institutional_analysis`	`ticker` (string)	6-step institutional ownership & smart money analysis
`explain_dilution`	`ticker` (string)	Dilution coverage, score, snapshot and instruments explained in plain English with Signal8 Academy citations

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

Clients that support custom bearer-token headers (e.g. Claude Code CLI's --transport http connector, Cursor, and VS Code's MCP support) can send your API key as shown above.

Clients that support MCP OAuth need no key at all. In Claude.ai or Claude Desktop, open Settings → Connectors → Add custom connector, paste https://mcp.signal8.ai/mcp, and Claude opens a Signal8 sign-in to authorize the connection. The server advertises its authorization server at https://mcp.signal8.ai/.well-known/oauth-protected-resource (OAuth 2.1 with PKCE and dynamic client registration, issued by https://api.signal8.ai). OAuth connections are subject to the same Signal8 Pro requirement and rate limits as API keys.

Environment Variables

Variable	Required	Description
`SIGNAL8_API_KEY`	Yes	Your Signal8 API key (starts with `sk_live_` or `sk_test_`)
`SIGNAL8_API_URL`	No	API base URL (default: `https://api.signal8.ai/api/v1/public`)

Pricing

The MCP server and the REST API it calls are included with Signal8 Pro ($59/mo, or $588/yr) at 120 requests per minute and 10,000 requests per day, with up to 3 API keys. There are no per-call credits or per-request charges: every request the server makes to the Signal8 API counts once against those limits. Free Signal8 accounts do not include API or MCP access. See signal8.ai/developer.

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

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

Signal8 Academy (free, no API key)

The free Signal8 Academy (plain-English guides to dilution, SEC filings, market structure and using Signal8, plus a glossary) is available to MCP clients without a Signal8 Pro API key: the local stdio server answers these even when SIGNAL8_API_KEY is unset. (The hosted endpoint still asks every tool call to sign in, as for any other tool.)

Kind	Name	What it returns
Tool	`search_learn_guides`	Guides matching a keyword query (optionally one track): title, description, URL
Tool	`get_learn_guide`	One guide (`track` + `slug`) as Markdown, with related guides and glossary terms
Tool	`define_term`	A glossary entry by slug, term or alias: short + long definition
Resource	`signal8://learn`	Index of every track, guide and glossary term
Resource	`signal8://learn/guides/{track}/{slug}`	A guide as Markdown
Resource	`signal8://learn/glossary/{slug}`	A glossary term as Markdown
Prompt	`explain_dilution`	Reads a company's dilution data (Pro tools) and explains each figure with the Academy guides

Tracks: dilution, filings, market-structure, signal8. Content is fetched from GET /api/v1/public/learn/*, so guide updates appear without a package release. Links in the Markdown point at signal8.ai.