List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.
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127,902 tools. Last updated 2026-05-05 21:38
"Financial models for trading stocks, puts and calls" matching MCP tools:
- Returns usage statistics for your ThinkNEO API key. Shows calls today, this week, this month, monthly limit, remaining calls, top tools used, estimated cost, and current tier. Works without authentication (returns general info).Connector
- Use when benchmarking financial performance against industry-level tax return data, establishing valuation comparables for M&A, assessing typical effective tax rates by sector, or producing financial due diligence context from the most authoritative source of actual US business financial performance. Returns IRS SOI aggregate statistics from actual filed corporation income tax returns — gross receipts, net income margins, and effective tax rates by industry. Data reflects actual filed returns, not survey estimates. Example: Healthcare and Social Assistance — 284,000 returns, 8.3% net income margin, 19.1% effective tax rate, $4.2M average gross receipts per return — baseline for healthcare PE valuation and acquisition multiples analysis. Source: IRS Statistics of Income Division.Connector
- List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.Connector
- List all custom evaluation models for the authenticated user. Returns an array of model objects with id, name, description, and status. Use model id in artifact, rubric, and evaluation tools. Free.Connector
- Get a comprehensive overview of current market conditions across crypto and stocks. Shows top 5-10 instruments ranked by Martingale Score (0-5), with their Startingale readings.Connector
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables 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.Last updatedMIT
- AlicenseAqualityCmaintenanceAn MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities.Last updated33MIT
Matching MCP Connectors
Perpetual futures trading for AI agents. 275+ markets (crypto, stocks, commodities, forex) via Hyperliquid. Copy trading, leaderboard, 50x leverage. No KYC. 20% referral commissions.
AI-powered trading strategy development: backtesting, market data, and portfolio analysis
- Return the current NeuroTrade B2B API quota status: plan tier, calls used, calls remaining, and quota reset date. Requires a valid NeuroTrade B2B API key.Connector
- Optional helper before plan_create. Returns model_profile options with plain-language guidance and currently available models in each profile. If no models are available, returns error code MODEL_PROFILES_UNAVAILABLE.Connector
- Full crypto agent context in ONE call — replaces 5+ separate tool calls. Returns: BTC/ETH/SOL/XRP signals, market mood (bias/regime/key levels), whale flows (24h directional bias + notable moves), top 5 Polymarket markets by 24h volume, DeepBlue trading track record, and a 1-2 sentence agent_summary ready to drop into agent context. Best value for trading agents needing situational awareness — designed for periodic polling (e.g. every 5-15 min).Connector
- Search the Smart Data Models (SDM) catalog by keyword, domain name, or partial model name. Use this when the user wants to discover which data models exist for a topic (e.g., 'parking', 'weather', 'energy meter'). Returns a list of matching model names and their subjects. Example: search_data_models({"query": "air quality", "domain": "SmartEnvironment"})Connector
- Load quantitative screening workflow with advanced query patterns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL for complex queries when the user asks to find, screen, rank, or filter stocks by multiple criteria — "find stocks that...", "top N by...", sector-wide ranking, or any multi-factor selection. Can be combined with other workflow tools.Connector
- Fetch the full options chain (calls and puts) for one expiry date. Returns strike price, bid, ask, last price, implied volatility, open interest, and volume for every contract. Use this tool when: - You are researching options strategies for a stock or ETF - You need implied volatility across strikes for a specific expiry - You want to see open interest to gauge market sentiment Call GetOptionsExpirations first to get valid expiry dates. If expiry_date is omitted, returns the nearest available expiry. Source: Yahoo Finance via yfinance. No API key required.Connector
- Return the current NeuroTrade B2B API quota status: plan tier, calls used, calls remaining, and quota reset date. Requires a valid NeuroTrade B2B API key.Connector
- Step 1 of the direct-upload flow. Returns a short-lived presigned HTTPS URL that the caller PUTs the file bytes to (with the same Content-Type that was passed in). After the PUT succeeds, call `confirm_upload` with the same filename and fileSize to receive the final `gs://` URL for use as a transcode/transcribe input. The presigned URL expires in ~15 minutes.Connector
- Get World Cup 2026 information for Philadelphia. FREE TOOL. Returns match schedule, venue details (Lincoln Financial Field), expected accommodation demand surge, transportation info, and STR compliance requirements. No parameters required.Connector
- Look up valid makes, models, and vehicle types in NHTSA's database. Use to resolve ambiguous vehicle names, find correct make/model spelling, or discover what models a manufacturer produces.Connector
- Use when preparing for a model risk management examination, building an SR 11-7 compliant model governance program, or assessing a financial institution's MRM framework against regulatory expectations. Returns Federal Reserve SR 11-7 and OCC requirements across development, independent validation, ongoing monitoring, and governance — with exam deficiency rates showing where institutions most commonly fail. For AI and ML models, SR 11-7 explicitly requires independent validation even for vendor-supplied models and black-box systems. Example: Documentation deficiencies are the most common exam finding at 67% of reviewed institutions — inadequate conceptual soundness documentation for credit scoring models triggers immediate MRA (Matter Requiring Attention). Source: Federal Reserve SR 11-7, OCC 2011-12, FDIC FIL-22-2017.Connector
- Filter and screen stocks based on financial criteria like market cap range, sector, P/E ratio thresholds, dividend yield, or revenue growth. Returns matching ticker symbols with key metrics. Use for value investing, growth stock identification, or portfolio rebalancing analysis.Connector
- Retrieve the full trace for an agent session. Returns the complete timeline of events (tool calls, model calls, decisions, errors), session metadata, total cost, duration, and any alerts triggered. Requires authentication.Connector
- Check health status of NLP API services and loaded models. Returns: dict with keys: - status (str): 'healthy' or error state - models (dict): Loaded model status per capability - version (str): API versionConnector