XF

Xfinlab

io.github.lnanology/xfinlab

Financial intelligence for AI agents: market events, sentiment, technicals, news feed.

Yes, your AI can use this right now.Answered a live MCP handshake in 541 ms with no sign-in needed and exposes 6 tools.

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Settings → Connectors → Add custom connector
URL: https://api.xfinlab.com/api/mcp

6 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
get_market_eventsread-only

Get recent market/company news headlines from XFINLAB's aggregated real-time news feed (RSS-sourced, deduplicated). Optionally filter by ticker/company name. Returns title, source, kind, published_at, url for each item -- no article body text.

get_sentimentread-only

Get FinBERT-based sentiment analysis of recent headlines for a ticker. Returns per-headline label/confidence/score plus an average score. Real model inference, not a fabricated estimate.

get_technical_analysisread-only

Get confluence direction/confidence, trend, MACD, volume, chart patterns, and market-structure signals (BOS/CHOCH/liquidity-sweep/order-flow/volume-profile/institutional-footprint) for one ticker, computed from real OHLC price data -- the same engine that powers XFINLAB's chart-analysis and ai-analysis pages.

get_intelligence_feedread-only

Get AI-structured event clusters from recent news: same-story headline clusters with entity/sentiment/quant-context fields and an AI-written narrative summary. Optionally scoped to one ticker; otherwise returns the latest cross-market feed. This is structured fact extraction, not republished article text, and never includes a directional trading signal or probability estimate.

get_global_market_mapread-only

Get a cross-region global market snapshot ('World Engine'): macro indicators (GDP growth/inflation/unemployment, with source attribution -- world_bank/fred/ecb), filtered regional headlines, and FinBERT sentiment for each requested region, plus a top-level global headlines feed (GDELT). Regions: us, europe, japan, korea, china, hk, tw, sea, me, latam. No AI narrative, no directional signal -- stru

get_fundamentals_as_ofread-only

Point-in-time company fundamentals (fundamentals_as_of): what an investor could actually have known about a US-listed company on a given date. For a symbol and an as_of date (YYYY-MM-DD) it returns the annual SEC 10-K figures (revenue, net income, diluted EPS, total assets, total liabilities, operating cash flow) that had already been filed and were available by that date, each with the period it

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