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    Read-only, keyless MCP server for searching and retrieving trading concepts, indicator details, families, and source code from the LuxAlgo Library.
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    43 npm
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    MIT
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    Historical stock pattern intelligence for AI agents. Search 24M pre-computed chart pattern embeddings across 15K stocks and 10 years. 19 tools: pattern similarity search, forward returns, regime analysis, anomaly detection, sector rotation, earnings reactions, correlation shifts, scenario analysis, and more. Returns what happened historically when charts looked like this — compliance-safe
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    132 PyPI
    22
    MIT
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    CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.
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    MIT
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    An MCP server that exposes the pacs008 ISO 20022 FI-to-FI Customer Credit Transfer library as tools for AI agents and assistants, enabling generation, validation, and parsing of pacs.008 credit transfer XML messages.
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    81 PyPI
    1
    Apache 2.0
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    tradefloor generates simulated stock markets for testing trading strategies and AI agents. This local MCP server lets an assistant evaluate and rank strategies across many reproducible markets, run stress scenarios such as a rate shock or a recession, and explain why a
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    19
    450 PyPI
    Apache 2.0
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    From idea to edge. Everyone has unique opinions and views of the world. Varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. The issue with LLMs testing for edges in the market is redundant idea loops, overfit with confidence, and waste days exploring nonsense. Varrd is the infrastructure and guardrails to prevent those f
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    41,606 PyPI
    24
    MIT
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    Gives AI assistants a read-only, offline interface to the FinOps Foundation's published guidance — its principles, phases, domains, 22 capabilities with Crawl/Walk/Run maturity assessments, personas, and an 88-entry KPI library — so FinOps questions are answered with the Foundation's own text and formulas rather than improvised ones. It exposes 11 tools, document resources, and four guided prompts over stdio, with every response carrying its source URL and license.
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    3 npm
    MIT
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    Provides retrieval and analysis tools for a quantitative-finance research library, enabling whole-passage answers with verifiable citations, citation checking, entity graph exploration, and corpus inspection.
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    A Model Context Protocol server that exposes the pain001 ISO 20022 Customer Credit Transfer Initiation library as agent tools, enabling AI assistants to generate and validate standardized payment XML messages.
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    131 PyPI
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    Apache 2.0
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    Enables AI assistants to parse, validate, send, and inspect X12 EDI documents via the SignalEDI Core API, with optional QuickBooks integration and a demo mode for keyless local testing.
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    50 npm
    MIT
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    Enables interaction with the Centrapay payments API for testing NZ payment flows, including creating, managing, and settling payment requests through natural language.
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    3 npm
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    MIT
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    Enables local auditing of trading strategies through MCP checkers for point-in-time data provenance, pre-trade order validation, and regime-fragility testing, while deferring promotion verdicts to a hosted service.
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    302 PyPI
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    A Financial Data Quality and AI Inference Evaluation MCP server that provides tools for auditing, bias detection, model evaluation, outlier scoring, A/B testing, and KPI reporting.
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    MIT
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    Portfolio risk analytics MCP server — VaR, Monte Carlo simulation, stress testing, portfolio optimization, options Greeks, and correlation analysis. Real market data via Yahoo Finance. Free tier available, Pro at $29/mo.
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    17 npm
    2
    MIT
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    Enables AI agents to evaluate stablecoin treasury allocations by protecting upcoming obligations, calculating true surplus, stress-testing proposed investments, and returning explainable ALLOCATE, HOLD, or BLOCK decisions.
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    MIT
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    Provides AI agents with quantitative risk tools such as VaR, expected shortfall, GARCH volatility, backtesting, stress testing, tail risk analysis, and credit scoring using synthetic or user-supplied data.
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    MIT
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    An MCP server that exposes comprehensive Yahoo Finance data (quotes, financials, options, news, and more) to AI agents via the yfinance library, requiring no API key.
    24
    MIT
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    Enables historical options research and regression testing against tastytrade's Backtester API, allowing users to discover backtest coverage, submit and poll backtests, and simulate historical trades without placing orders.
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    MIT
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    Enables expense tracking through the Model Context Protocol, using FastMCP for easy setup and testing via MCP Inspector.
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