"Design Resources and Prototyping Best Practices" matching MCP servers:

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.

Enables simulation and analysis of DeFi mechanisms, auctions, incentive compatibility, and governance attacks through a model context protocol interface.

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.

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.

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.

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.

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.

Enables LLM agents to access Korean stock market data including DART disclosures, financial statements, and KOSPI/KOSDAQ prices, with an English-first interface designed for non-Korean speaking analysts.

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

📈 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.

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.

Lets AI assistants pull the U.S. Treasury's own daily rate data with no API key, covering the full par yield curve back to 1990, 10y-2y and 10y-3m spreads with inversion flags, historical yield ranges, T-bill discount and coupon-equivalent rates, and TIPS real yields with breakeven inflation. Requests for weekends or holidays resolve to the prior business day, and every answer returns structured JSON plus a plain-text summary stamped with its as-of date and source.

Enables shopkeepers to manage a credit ledger by voice in Hinglish—adding udhaar, recording payments, checking balances and top defaulters, drafting WhatsApp reminders, and mapping nicknames to customers.

Exposes named core, finance, supplier, intake, orders and reports tools over HTTP so Claude Code subagents can run a self-hosted finance back office: reading and coding supplier invoices, posting bills to the owner's QuickBooks, matching the bank, keeping the cashflow outlook, reconciling supplier statements and drafting reports and emails. Every write passes a posting gate and no payment, approval or customer invoice can be issued by an agent.

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.

Enables any LLM to query financial data through predefined, read-only tools, such as retrieving credit scores, preapproved limits, risk profiles, and consolidated customer profiles from a mapped database.

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 building AWS cost estimates from natural language requests and generating formatted Excel reports with real pricing, INR conversion, and best practices.

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

Enables natural-language queries of AWS spend and Bedrock usage data, providing detailed breakdowns by service, region, account, user, instance type, and model, including cross-account cost analysis.

Enables users to query and visualize AWS spend and Amazon Bedrock usage data through natural language, including EC2 and service cost breakdowns and Bedrock usage by region, user, and model.

Enables natural-language analysis of AWS spend through Cost Explorer and Amazon Bedrock usage via CloudWatch model invocation logs, with breakdowns by service, region, model, user, day, and instance type. It also supports cross-account cost retrieval and local or remote MCP transports.

Enables users to query AWS spend data and Amazon Bedrock usage from CloudWatch model invocation logs through natural language. Supports detailed cost breakdowns by service, region, day, and instance type, including cross-account AWS spend retrieval.

Enables users to query AWS spending and Amazon Bedrock usage in natural language through MCP clients, with breakdowns by service, region, day, model, and user, plus optional cross-account access.

Enables users to query and analyze cloud spending, EC2 cost breakdowns, service-level spend, and model usage logs through natural-language interactions. It also supports cross-account spend retrieval when configured.

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

Enables agents to retrieve and analyze cloud spending and model usage data, including service, region, instance-type, user, and model breakdowns.

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.

Enables querying AWS Cost Explorer spend data and Amazon Bedrock model invocation logs through CloudWatch in natural language. Supports EC2, Bedrock, and cross-account cost analysis via local or remote MCP transports.

Enables querying AWS spend data via Cost Explorer and Amazon Bedrock usage data from CloudWatch logs using natural language. Supports cross-account access, local and remote deployment, and integration with Claude Desktop and LangGraph agents.

Enables users to analyze AWS spend and Bedrock model usage through natural-language queries, including EC2 costs, service spend reports, and breakdowns by region, model, and user.

Enables users to query AWS Cost Explorer spend data and Amazon Bedrock usage data from CloudWatch model invocation logs through natural language, including EC2 breakdowns, service spend reports, and detailed cost data by day, region, service, and instance type.