SentimentFX

FinBERT news sentiment and price history for 42 crypto, FX, stock, ETF and commodity tickers.

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Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
63%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,095Tokens (Tool-Definitionen)
~639 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.86% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "market-sentiment": {
      "url": "https://api.sentimentfx.org/mcp"
    }
  }
}

Remote-Endpunkte

https://api.sentimentfx.org/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

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🟢list_tickers

List every asset SentimentFX tracks. Cheap (free — doesn't hit the billing meter). Returns two groups: `primary` (5 crypto + 7 FX pairs — the ones with full sentiment coverage across the primary RSS feeds), and `background` (US equities, ETFs, commodity futures — coverage is thinner but real). Use the exact ticker string from either group as the `ticker` arg to the other tools.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "list_tickersArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "list_tickersDictOutput"
}
🟡get_usage

Introspect your API key: calls used this month, included allowance, remaining credits, and when the counter resets. Free — doesn't hit the billing meter. Mirrors `GET /v1/usage` (MCP_MIRRORS_V1: change both together). Useful before a large batch of `get_sentiment`/`get_summary` calls to check you have credit headroom.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "get_usageArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_usageDictOutput"
}
🟢get_sentiment(ticker, limit)

Return the most recent FinBERT-scored headlines for `ticker`. Each headline has a `sentiment_score` in [-1, +1] (positive_prob - negative_prob) and a categorical `sentiment_label`. Costs 1 API credit per 25 headlines actually returned — same billing as GET /v1/sentiment/{ticker}. An empty result costs nothing. `limit` is capped at 100. Titles come back reverse-chronological so the first item is the freshest.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "title": "Ticker",
      "type": "string"
    },
    "limit": {
      "default": 25,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "ticker"
  ],
  "title": "get_sentimentArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_sentimentDictOutput"
}
🟢get_summary(ticker, days)

Return daily aggregated sentiment for `ticker` over the last `days`. Each entry has `avg_sentiment` (unweighted mean of that day's scores), `article_count`, and a directional `label` (positive / negative / neutral, thresholded at ±0.1). Costs 1 API credit per day actually returned — same as GET /v1/summary/{ticker}. A window with no coverage costs nothing.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "title": "Ticker",
      "type": "string"
    },
    "days": {
      "default": 30,
      "title": "Days",
      "type": "integer"
    }
  },
  "required": [
    "ticker"
  ],
  "title": "get_summaryArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_summaryDictOutput"
}
🟢get_prices(ticker, days)

Return daily close prices for `ticker` over the last `days`, in the ticker's native currency -- see the `currency` field on the response. Costs 1 API credit per day actually returned — same as GET /v1/prices/{ticker}. Prices come back reverse-chronological. Crypto is GBP (yfinance BTC-GBP etc.), FX pairs are a raw exchange rate in the pair's native convention (e.g. USDJPY is yen per dollar), and everything else (stocks/ETFs/commodity futures) is native USD -- there is no currency conversion.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "title": "Ticker",
      "type": "string"
    },
    "days": {
      "default": 30,
      "title": "Days",
      "type": "integer"
    }
  },
  "required": [
    "ticker"
  ],
  "title": "get_pricesArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_pricesDictOutput"
}
🟢get_correlation(ticker)

180-day Pearson correlation between daily sentiment shifts and next-day price returns for `ticker`. Returns Pearson `r`, `p_value`, `n_days` overlapping, a 95% confidence interval (Fisher z), and a categorical `strength` (strong / weak / inconclusive). Costs 1 API credit — same as GET /v1/correlation/{ticker}. Requires ≥30 overlapping day-pairs. Under that, returns a `note` field explaining what's missing so a caller can suggest waiting or switching to a higher-coverage ticker.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "title": "Ticker",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ],
  "title": "get_correlationArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_correlationDictOutput"
}

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