Financial Signals MCP

Derived financial intelligence for AI agents — not another SEC EDGAR filings
server. Six of those already exist. This serves the interpreted layer: the
patterns, surprises, flows, scores, and anomalies an agent actually needs to make
a decision. Raw data is commodity; interpreted signals are premium.

Part of the FoundryNet Data Network. Attest your agent's financial analysis
with MINT Protocol. See also:
gov-contracts-mcp, brand-intel-mcp, patent-intel-mcp.

Built as a free-tier alternative to enterprise financial data (FactSet,
Morningstar, S&P Capital IQ) — financial intelligence for agents without
enterprise subscriptions.

Live MCP endpoint (Streamable HTTP):
https://financial-signals-mcp-production.up.railway.app/mcp

Tools

Tool	Price	What it does
insider_activity	$0.01	Insider transactions with pattern analysis (cluster_sell, large_buy, ceo_buy, pre_earnings)
earnings_check	$0.01	8-quarter EPS surprises, beat streak, guidance trend, next date
institutional_moves	$0.01	Significant 13F position changes with context
screen_stocks	$0.01	Ratio screen ranked by the proprietary composite_value_score
sector_snapshot	$0.01	Sector medians, top/bottom by value score, aggregate trend
macro_dashboard	free	Macro indicators with trend + historical percentile — the gateway
company_profile	$0.01	Full blended profile + value score + sector positioning
anomaly_alert	$0.02	Unusual patterns across all monitored companies (premium)
mint_info	free	FoundryNet Data Network + MINT Protocol

Free tier: 25 paid-tool queries/day per agent (plus free macro_dashboard +
mint_info). Then x402: the tool returns an HTTP-402 with a Solana USDC payment
memo — pay it, re-call with the same args plus payment_tx=<signature>. An
Authorization: Bearer fnet_… key bypasses the paywall.

The moat: composite_value_score

screen_stocks and company_profile expose a proprietary composite_value_score
(0-100) — a transparent blend of: valuation vs. sector, growth, margin quality,
insider sentiment, institutional momentum, and earnings consistency. Sort
screen_stocks by it and you're using a ranking nobody else computes.

Sources & method

A daily run after US market close computes DERIVED tables (not raw filings) over
the S&P 500 from free sources: yfinance (price, ratios, earnings, insider &
institutional — Yahoo's aggregation of SEC data), FRED (macro), and SEC
EDGAR (supplementary). Signal-typing + the composite score are computed at ingest.

Honesty notes: revenue surprise, guidance direction, and post-earnings move
are not reliably free, so they're null/none where unavailable (roic uses ROA
as a capital-efficiency proxy). Coverage grows as the daily universe is processed.

Connect

Smithery: @foundrynet/financial-signals · MCP registry: io.github.FoundryNet/financial-signals-mcp

{ "mcpServers": { "financial-signals": { "url": "https://financial-signals-mcp-production.up.railway.app/mcp" } } }

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