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openmarkets

A Model Context Protocol (MCP) server for agentic retrieval of financial market data

Install / Use

claude mcp add danchev -- npx -y github:danchev/openmarkets

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

80/100

Supported Platforms

Claude Code
Claude Desktop

Tags

Our assessment of openmarkets

openmarkets scores 80/100 on our quality scale, 8th of 24 Finance & Accounting skills we index (top 34%).

Its MCP Server is 22 KB long, well organised into 35 sections with 8 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
30/30
Structure
20/20
Description
12/15
Adoption
3/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 7 days ago, so openmarkets is actively maintained.
  • It is released under AGPL-3.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
  • Its trust signals score 87/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

openmarkets compared with similar skills

All 4 of these similar skills score higher than openmarkets; compare them before choosing.

SkillScoreStarsUpdatedFormat
openmarkets (this skill)by danchev8037d agoMCP Server
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Frequently asked questions

How do I install openmarkets?
Run claude mcp add danchev -- npx -y github:danchev/openmarkets. The install tabs above show the steps for each supported agent.
Which AI agents does openmarkets work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is openmarkets safe to use?
It is AGPL-3.0-licensed and scores 87/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is openmarkets still maintained?
The repository was last updated 7 days ago, so openmarkets is actively maintained.

Open Markets

PyPI PyPI - Downloads PyPI - Monthly Downloads Tests Tools License

A production-grade Model Context Protocol (MCP) server for agentic financial data retrieval and algorithmic market analysis. Open Markets connects LLM agents directly to real-time and historical financial intelligence across equities, fixed income, commodities, currencies, derivatives, funds, crypto, macroeconomic telemetry, SEC EDGAR regulatory disclosures, and quantitative portfolio risk analytics.


🌟 Multi-Provider Architecture

Open Markets aggregates financial telemetry across institutional-grade data providers:

  • SEC EDGAR Direct Ingestion Engine: Official regulatory submissions, real-time 10-K annual reports, 10-Q quarterly reports, 8-K material events, Form 4 insider transactions, and structured US-GAAP interactive XBRL disclosures with direct document links.
  • Federal Reserve Economic Data (FRED Engine): Comprehensive macroeconomic indicators (CPI Inflation, Core PCE, Effective Fed Funds Rate, SOFR, Nonfarm Payrolls, Unemployment, Real GDP, M2 Money Supply, Fed Balance Sheet, TIPS Breakeven Inflation, and Financial Stress).
  • Wall Street Journal (WSJ Michelangelo Engine): High-resolution 1-minute intraday continuous ticks (with pre/post-market), continuous commodities & futures, server-side technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands), global equity benchmark indices, and sovereign bond curves.
  • Yahoo Finance Engine: Complete fundamental statements, real-time quotes, options chains, analyst consensus, institutional ownership, ETF compositions, and screener queries.
  • Quantitative Portfolio & Backtesting Engine: Vectorized multi-asset Sharpe/Sortino ratios, Value-at-Risk (VaR/CVaR), correlation matrices, equal-risk-contribution allocation, constrained Markowitz Minimum Variance optimization, and SMA/RSI strategy backtesting.
  • Green Markets (Bloomberg / Dow Jones): Weekly North American fertilizer price index benchmark.

All network requests use modern Chrome TLS/JA3-impersonation (curl_cffi), automatic session pooling, thread-safe asynchronous concurrency, and configurable in-memory TTL caching.


🚀 Quick Start

Installation with uvx

uvx openmarkets

Dependency security

Audit the committed lockfile with uv's native OSV integration:

uv audit --locked

CI also enables uv's preview malware check during a locked sync. This check is opt-in and requires a current uv release:

UV_MALWARE_CHECK=1 uv --preview-features malware-check sync --locked --all-groups --all-extras

Usage with Cursor

Install MCP Server

Usage with Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "openmarkets": {
      "command": "uvx",
      "args": ["openmarkets@latest"]
    }
  }
}

Usage with VS Code & Cline

Add to .vscode/mcp.json:

{
  "servers": {
    "openmarkets": {
      "command": "uvx",
      "args": ["openmarkets@latest"]
    }
  }
}

🎯 Tool Profiles

Open Markets supports granular server profiles to tailor tool exposure to specific LLM contexts:

# Run with specific domain profile
uvx openmarkets --profile equities
uvx openmarkets --profile macro
uvx openmarkets --profile quant
uvx openmarkets --profile portfolio
uvx openmarkets --profile sec

| Profile | Exposed Services & Focus | | :--- | :--- | | full (default) | All 127 tools across all 17 services. | | equities | stock, financials, analysis, holdings, options, portfolio, screener, sec. | | quant | stock, technical_analysis, sector_industry, markets, crypto, funds, commodities, fixed_income, forex, macroeconomics, portfolio. | | portfolio | Multi-asset Sharpe/Sortino, Value-at-Risk (VaR/CVaR), correlation matrices, equal-risk-contribution risk parity, Minimum Variance, rolling Beta, and strategy backtesters. | | macro | commodities, fixed_income, forex, markets, sector_industry, macroeconomics. | | sec | Direct SEC EDGAR submissions, 10-K, 10-Q, 8-K, Form 4, CIK search, and interactive XBRL financial statement facts. | | minimal | Essential 36 tools across stock, financial, analyst, and screener lookups. | | macroeconomics | US Inflation, PCE, labor markets, Fed rates, GDP, M2, liquidity, and financial stress. | | commodities | Physical commodities, energy, metals, softs, and fertilizer indices. | | fixed_income| Treasury yield curves and 10Y sovereign benchmark yield spreads. | | forex | Foreign exchange rates, DXY dollar index, and currency conversions. | | crypto | Top cryptocurrencies, historical crypto pricing, and fear & greed index proxy. |


🛠️ Complete Directory of 127 MCP Tools

Open Markets publishes 127 strictly-typed, Pydantic-validated tools across 17 domain services:

1. Stock & Equities (StockService — 18 tools)

  • get_fast_info(ticker): Fast summary with real-time price, market cap, 52-week bounds, and currency.
  • get_info(ticker): Exhaustive company metadata, valuation ratios, enterprise multiples, and governance.
  • get_curated_info(ticker): Context-efficient company fundamentals with 33 essential metrics.
  • get_history(ticker, period, interval): Historical OHLCV pricing with custom intervals (1m to 3mo).
  • get_dividends(ticker): Historical dividend payout schedule and cash amounts.
  • get_splits(ticker): Historical stock split ratios and execution dates.
  • get_corporate_actions(ticker): Combined stream of splits and dividend distributions.
  • get_news(ticker): Latest real-time financial news headlines and article links.
  • get_financial_summary(ticker): Core financial health snapshot (Revenue, Net Income, Margins, Debt).
  • get_extended_financial_summary(ticker): Deep financial metrics (Free Cash Flow, ROE, ROA, Quick Ratio).
  • get_risk_metrics(ticker): Risk indicators including Beta and institutional short interest.
  • get_dividend_summary(ticker): Payout ratio, trailing/forward dividend yields, and 5-year averages.
  • get_price_target(ticker): Analyst consensus price targets (Low, Mean, Median, High).
  • get_quick_technical_indicators(ticker): Lightweight 50-day & 200-day moving average levels.
  • get_valuation_history(ticker): Quarterly & annual historical valuation ratios (P/E, P/S, P/B, EV/EBITDA).
  • get_wsj_stock_history(ticker, timeframe, step): WSJ institutional price history with custom timeframes.
  • get_wsj_intraday_bars(ticker): Continuous 1-minute intraday tick data including pre-market and after-hours.
  • get_wsj_bollinger_bands(ticker, timeframe, window, num_std): Server-side calculated Bollinger Bands directly from WSJ.

2. Technical Analysis (TechnicalAnalysisService — 7 tools)

  • get_technical_indicators(ticker, period): Comprehensive moving averages and 52-week position metrics.
  • get_volatility_metrics(ticker, period): Annualized volatility, maximum daily gains/losses, win/loss day ratios.
  • get_support_resistance_levels(ticker, period): Identified dynamic support and resistance price floors/ceilings.
  • get_wsj_sma(ticker, window, timeframe, step): Server-side computed Simple Moving Average (SMA) via WSJ Michelangelo.
  • get_wsj_ema(ticker, window, timeframe, step): Server-side computed Exponential Moving Average (EMA).
  • get_wsj_rsi(ticker, window, timeframe, step): Server-side computed Relative Strength Index (RSI momentum).
  • get_wsj_macd(ticker, fast_window, slow_window, signal_window): Server-side computed MACD Line, Signal Line, and Histogram.

3. Financial Statements & SEC Filings (FinancialsService — 9 tools)

  • get_curated_financials(ticker): Context-efficient financial performance and solvency snapshot.
  • get_balance_sheet(ticker, quarterly): Standardized balance sheet statements (Assets, Liabilities, Equity).
  • get_income_statement(ticker, quarterly): Income statements (Revenues, Gross Profits, Operating Income, Net Income).
  • get_ttm_income_statement(ticker): Trailing Twelve Months (TTM) income statement.
  • get_ttm_cash_flow_statement(ticker): Trailing Twelve Months (TTM) cash flow statement.
  • get_financial_calendar(ticker): Upcoming earnings release dates and dividend announcement schedules.
  • get_sec_filings(ticker): Official EDGAR SEC filings (10-K, 10-Q, 8-K) with direct document URLs.
  • get_eps_history(ticker): Historical EPS consensus estimates versus reported actuals and surprise percentages.
  • get_full_financials(ticker): Concurrent aggregate of statements, calendar, filings, and EPS history.

4. Analyst Estimates & Consensus (AnalysisService — 8 tools)

  • get_analyst_recommendations(ticker): Wall Street consensus ratings breakdown (Strong Buy, Buy, Hold, Sell).
  • get_recommendation_changes(ticker): Recent rating upgrades and downgrades from major investment banks.
  • get_revenue_estimates(ticker): Forward revenue projections and quarterly growth estimates.
  • get_earnings_estimates(ticker): Forward EPS estimates (Quarterly & Annual).
  • get_growth_estimates(ticker): Multi-year earnings growth forecast comparisons.
  • get_eps_trends(ticker): Historical EPS revision trends (30 days, 60 days, 90 days ago).
  • get_price_targets(ticker): Wall Street price targets with high, low, and median projections.
  • get_full_analysis(ticker): Unified analyst research summary report.

5. Options & Derivatives (OptionsService — 7 tools)

  • get_option_expiration_dates(ticker): Available options chain expiration dates.
  • get_option_chain(ticker, expiration_date): Complete options chain with calls and puts.
  • get_call_options(ticker, expiration_date): Filtered call options with strike, bid/ask, volume, and open interest.
  • get_put_options(ticker, expiration_date): Filtered put options.
  • get_options_volume_analysis(ticker, expiration_date): Aggregate Put/Call volume and Open Interest ratios.
  • get_options_by_moneyness(ticker, expiration_date, moneyness_range): ITM, ATM, and OTM options filtered by moneyness.
  • get_options_skew(ticker, expiration_date): Volatility smile and implied volatility (IV) skew metrics.

6. Institutional Holdings & Insider Trades (HoldingsService — 6 tools)

  • get_major_holders(ticker): Ownership breakdown (Insiders, Institutions, Float percentages).
  • get_institutional_holdings(ticker): Top institutional asset managers (Vanguard, BlackRock, etc.) and shares held.
  • get_mutual_fund_holdings(ticker): Top mutual fund holders and portfolio portfolio position weights.
  • get_insider_purchases(ticker): Six-month insider purchase/sale share and transaction counts.
  • get_insider_roster_holders(ticker): Key company officers and board member share positions.
  • get_full_holdings(ticker): Unified institutional and insider ownership report.

7. Stock Screener (ScreenerService — 1 tool)

  • search_screener_matches(query, count, offset): Paginated discovery across Yahoo's predefined equity, ETF, and fund screens.

8. Sectors & Industry

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars3
CategoryFinance
Updated7d ago
Forks0

Languages

Python

Trust signals

87/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 low