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SentimentFX

by @fastdrop

MCP Verified 8 days ago Registry import free

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

FinBERT news sentiment and price history for 42 crypto, FX, stock, ETF and commodity tickers. Official MCP Registry: org.sentimentfx/market-sentiment@1.0.0. Remote endpoint: https://api.sentimentfx.org/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as org.sentimentfx/market-sentiment and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 6 Sept 2026. Not supplied by the maker.

  • 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

  • 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_MIR

  • get_sentiment

    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 A

  • get_summary

    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` (positiv

  • get_prices

    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 a

  • get_correlation

    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

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