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Financial Signals MCP

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.

Related MCP server: Toolstem MCP Server

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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