fAlpha
by falpha.ai · ai.falpha/mcp
Explainable model signals, drivers, news sentiment, SEC filings and macro data for US stocks.
- Category
- Search and web data
- Connection
- Remote (HTTP)
- Tools
- 17 reported
- Status
- Online
Connect it to your AI
Claude Code
claude mcp add --transport http falpha https://agent.falpha.ai/mcpClaude, ChatGPT, Cursor and other apps
Add it as a custom connector with this URL (Streamable HTTP):
https://agent.falpha.ai/mcpCursor, VS Code and other apps (mcp.json)
{
"mcpServers": {
"falpha": {
"url": "https://agent.falpha.ai/mcp"
}
}
}Tools it offers
17 tools, as the server itself reported during our check on Oct 31, 2026.
falpha_signal_desk_card[Signal Desk] fAlpha's current model reading on one ticker, computed by quantitative models from numerical market data (no language model sets the number): the equity indicator (EI, signed: positive leans long, negativefalpha_signal_desk_compare[Signal Desk] Two tickers side by side on the current signal, with which of the two carries the stronger reading (`stronger`; EI magnitudes within 0.05 of each other are `comparable`). For questions like 'AAPL or MSFT';falpha_signal_desk_history[Signal Desk] The signal and its drivers stored for a past date (the newest reading on or before it). For questions like 'what did the model say in June'; falpha_signal_desk_performance covers a date range. Requires a cofalpha_signal_desk_performance[Signal Desk] How a ticker moved over a date range against a benchmark, and the excess return taken in the direction of the signal on the range's first day. One reading held over one window: a realized outcome, not a forfalpha_signal_desk_flips[Signal Desk] The dates the signal changed direction (long to short or back) over a lookback window, the drivers at each change, and the current direction. For questions like 'when did the model turn bearish on TSLA'. Refalpha_signal_desk_curve[Signal Desk] The model's term structure for a ticker: the equity indicator's direction from one day out to six months, the curve's shape (strengthening, weakening or flipping), whether the sign changes across horizons,falpha_screener_desk[Screener Desk] Ranks fAlpha's covered universe (5k+ US equities) by the current signal, either the equity indicator or the signal's realized Sharpe ratio, filtered by direction, sector or a minimum Sharpe ratio. Names tfalpha_screener_desk_coverage[Screener Desk] Whether a ticker is in fAlpha's covered universe, with its sector and latest signal date, or a page through the universe. The other desks return no data for tickers outside it. Available without an accounfalpha_sentiment_desk[Sentiment Desk] fAlpha's daily news sentiment score for a ticker, with the articles it was computed from and the date of the reading. For questions like 'what is the news saying about AMZN'; falpha_sentiment_desk_trendfalpha_sentiment_desk_trend[Sentiment Desk] How news sentiment has moved over a window: the current reading (the newest scored day, with its date and article count), the change since the window opened, the direction, the high/low band and the dailfalpha_analyst_desk[Analyst Desk] Sell-side coverage for a ticker: recent price-target calls with source links, an accuracy-weighted consensus lean, and each analyst's historical hit rate, including their accuracy when agreeing and when difalpha_glossary[Glossary] The fAlpha definition of a term the desks return: EI (equity indicator), drivers, Sharpe, Sortino, percent_positive_pnl, signal flip, term structure. Not metered. Available without an account.falpha_filings_scout[Filings Scout] Recent SEC filings for a ticker from SEC EDGAR (10-K, 10-Q and 8-K by default), newest first, each with its filing date and document URL. Requires a connected fAlpha account; not included in the free triafalpha_filings_scout_facts[Filings Scout] Reported fundamentals from SEC XBRL filings: revenue, net income, diluted EPS, total assets, total liabilities and stockholders' equity, for the latest reported quarters and fiscal years, each with its pefalpha_macro_desk[Macro Desk] The US macro backdrop from FRED: the fed funds rate (DFF), CPI (CPIAUCSL), unemployment (UNRATE), the 10y-2y spread (T10Y2Y) and the 10-year yield (DGS10). One series returns its recent history; with no serifalpha_fundamentals_desk[Fundamentals Desk] Company profile and trailing-twelve-month ratios from FMP: sector, market cap, P/E, margins, debt/equity. Third-party reference data, not fAlpha model output. Requires a connected fAlpha account; notfalpha_open_in_web[Your Record] Links to the fAlpha website and the user's account page, where plan, usage and billing are shown. For questions about the user's fAlpha plan, usage, billing or account. Not metered. Available without an acc
Questions
What is the fAlpha MCP server?
Explainable model signals, drivers, news sentiment, SEC filings and macro data for US stocks. It is made by falpha.ai and listed in the official MCP Registry as ai.falpha/mcp. MCP (Model Context Protocol) is the open standard that lets AI apps like Claude, ChatGPT and Cursor use outside tools.
How do I add fAlpha to Claude?
In the Claude app or claude.ai, open Settings, then Connectors, choose "Add custom connector" and paste https://agent.falpha.ai/mcp. In Claude Code, run: claude mcp add --transport http falpha https://agent.falpha.ai/mcp
How do I add fAlpha to ChatGPT?
ChatGPT can use remote MCP servers as connectors. In ChatGPT settings, under Apps and Connectors, turn on developer mode if asked, create a new connector and paste https://agent.falpha.ai/mcp.
How do I add fAlpha to Cursor?
Open Cursor settings, go to MCP, choose "Add new MCP server" (or edit ~/.cursor/mcp.json) and add: { "mcpServers": { "falpha": { "url": "https://agent.falpha.ai/mcp" } } }
Does fAlpha work right now?
Yes. It responded when we last checked on 31 Oct 2026. We check remote MCP servers every day.
What can fAlpha do?
It gives your AI 17 tools, including falpha_signal_desk_card, falpha_signal_desk_compare, falpha_signal_desk_history, falpha_signal_desk_performance, falpha_signal_desk_flips. The full list is on this page.
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Markdown (GitHub README)
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