"Obfuscated string with gethostbyname and bxss.me domain" matching MCP servers:

Model Context Protocol (MCP) server providing automated domain valuation, authoritative WHOIS lookup, and comparable sales analysis for AI agents

Enables AI clients to generate strategic domain pricing tiers—buy-it-now anchors, make-offer floors, auction reserves, and lease prices—along with renewal ROI forecasts comparing holding costs against target flip multiples over 1, 3, and 5 year horizons.

Enables AI agents to compute financial domain valuations from TLD tier, character length, liquid floor, and enterprise upside, and to compare market multiples across major TLDs using historical secondary-market liquidity data.

Landlord and rental-property calculators as MCP tools: cash flow, cap rate, DSCR, Airbnb break-even occupancy, rent late fees, lease notice dates, and IRS mileage. Offline and deterministic, with no dependencies.

Enables access to Usage and Billing APIs for managing accounts, products, meters, plans, and usage reporting. Supports operations like creating products/plans, reporting usage, and retrieving billing information.

An MCP Server that provides a conversational interface to the UK Open Banking account information API, allowing agents to interact with bank account data through natural language commands.

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Credit and payments for AI agent developers — over MCP. No crypto required

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.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

Provides real-time financial data including stock quotes, news, and market movers through a secure FastMCP gateway, enabling conversational finance queries.

Give AI agents cited funding, money-market, FX and capital-market evidence through 16 public MCP tools. Keep source dates, freshness checks and coverage gaps attached; China macro coverage is metadata-only. No API key is required for the public surface. Research context only; no trade execution.

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.

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

Provides exact calendar calculations from 1971 to 2100, including OPM and Federal Reserve holiday observance, business-day addition and counting, and invoice due dates with weekend and holiday roll rules.

Enables users to pull portfolio company lists from Y Combinator, a16z, Sequoia, Accel, and other investors or any portfolio page URL, returning one row per company with name, domain, website, description, and stage or batch. Runs on Apify and produces Clay-ready output, with YC results filterable by batch, industry, region, status, and search terms.

📈 提供股票、加密货币的数据查询和分析功能MCP服务器

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

An MCP server that exposes real-time financial data tools for stock search, company info, historical prices, and financial metrics from Yahoo Finance, enabling AI agents to answer natural-language questions about stocks and financial markets.

Enables AI agents to call Safaricom's M-Pesa Daraja API directly, sending STK push prompts, checking balances, looking up or reversing transactions, and receiving results as SUCCESS, FAILED, or UNKNOWN. Requests are sent once per idempotency key with sandbox-by-default operation, so agents can operate and test payments without risking double charges or real money.

Provides stock market data and computes technical indicators like EMA, MACD, and RSI across multiple timeframes using the LongPort API and TA-Lib. It enables users to perform detailed financial analysis and multi-timeframe market reviews through standard MCP tools.

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Offers real-time stock prices, sector and historical analysis, top performers for NSE and global markets, plus stock-specific and general market news with intelligent caching and fallback data.

Enables stock analysis by fetching company details, profit data, and shareholding patterns from Screener.in using local LLM tools.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

A demo MCP server that exposes stock-quote tools to LLMs via FastMCP over streamable HTTP. It can be deployed to AWS ECS and integrated with ChatGPT as a custom connector.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Enables natural-language querying and analysis of AWS spending and model-invocation usage, including detailed breakdowns by service, region, account, day, and instance type.