"Financial models for trading stocks, puts and calls" matching MCP servers:

Enables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.

Provides read-only MCP tools for market snapshots, position risk, order reconciliation, and daily report previews with deterministic financial calculations, evidence chains, and audit trails.

Enables read-only comparison of tokenized stock tokens on Solana across issuers, quoting buys at multiple sizes with slippage, and weighing the all-in cost of a purchase against the real share price (with an optional API key for share prices and risk scores).

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

An MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities.

Enables any AI to place real phone calls in Spain and Mexico with an AI voice agent, then retrieve call status, summaries, collected data, and transcripts.

Provides AI agents with real-time financial market intelligence including regime detection, adaptive signals, macro context chains, and cross-market analysis for crypto, US, and Korean stocks.

Turns product ideas into rendered UI screen mockups and a buildable component manifest, so downstream agents can develop real screens from the generated designs.

A comprehensive MCP server for stock analysis and trading insights, including stock screening, fundamental analysis, insider trading, options analysis, social media research, and news analysis.

Public MCP research for AI finance and trading agents: funding, bank risk and liquidity evidence. Companion SDK: persistent Python MCP sessions and Python/JS source-status streams. Setup: https://beepboop2025.github.io/financial-evidence-skills/distribution/ai-trading-tools.html. No data API key. Keep source dates, rights and gaps. No live quotes or execution.

Enables real-time and historical Indian stock market data retrieval, including prices, news, recommendations, and top gainers/losers.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

An MCP server providing stock market data and trading capabilities through multiple broker APIs including Robinhood and Schwab.

Perpetual futures trading API for AI agents. Access 275+ markets (crypto, stocks, commodities, forex) via Hyperliquid. Copy trading, leaderboard, up to 50x leverage. No KYC. 20% referral commissions.

Enables AI agents and human decision-makers to route problems to 150 multi-disciplinary mental models, retrieve operational playbooks, challenge assumptions against sycophancy, and explore frameworks across 12 disciplines.

Provides live Hong Kong equity market data, including Hang Seng index levels and real-time HKEX quotes, plus name-to-code resolution for English and Chinese company names.

Enables keyless access to Taiwan equities data from TWSE and TPEx, including prices, valuations, monthly revenue, disclosures, margin balances, and dividend dates.

Enables AI agents to look up facts about notable machine-learning models — organization, release date, parameter count, training-compute (FLOP) estimate, hardware and accessibility — by name, and to search or aggregate them by organization, domain, year, or compute threshold. Supports filtering the dataset newest-first and producing per-year training-compute trends, keylessly and without authentication.

Enables users to choose among seven decision-making frameworks and work through them step by step with their own situation, ending with one clear decision and a next action. It also chains multiple frameworks for larger decisions and provides model guides and recommendations.

Provides real-time stock data, news, company fundamentals, and technical indicators for AI assistants via the Model Context Protocol.

An MCP server that helps interact with and compare different GitHub Models, enabling listing, filtering, and comparing model responses.

Provides foundational trading utilities by fetching market data through Akshare and computing technical indicators like RSI and MACD using TA-Lib. It enables users to retrieve candlestick data and technical analysis series via a standardized MCP interface.

Enables fetching real-time stock prices from Yahoo Finance through Claude AI's interface. Allows users to query current market data for stocks using natural language commands.

MCP server to fetch Japanese financial laws and regulations from the e-Gov API, preventing hallucinations in Claude's responses. Supports 9 domains including Financial Instruments and Exchange Act, Banking Act, etc.

An MCP server that lets an AI assistant read your pre-installed macOS Apple Stocks app — its watchlist and its cached quotes — and open symbols in the app to add them.

Provides actionable financial intelligence tools for AI agents including insider buying signals, earnings IV plays, market pulse, stock analysis, and options strategies via free public data sources.

Prediction-market intelligence and crypto paper trading for AI agents. Explore data across 12 venues with 38 MCP tools, including 11 keyless tools on the hosted endpoint. Compare markets, track whales and discover crypto movers. Add a CoinRithm API key for simulated spot, futures and prediction-market trading, portfolio tracking and execution exports.