"Information about Azure (Microsoft Cloud Computing Service or General Search)" matching MCP servers:

MCP server exposing four task-shaped tools (resolve, pay, verify, disclose) for General Liquidity, enabling agents to normalize counterparties, submit intents, verify disclosures, and produce signed disclosures.

Enables LLMs to query Azure service pricing via the public Azure Retail Prices API, with tools for searching prices, estimating costs, comparing regions, and listing services.

An MCP server for the Microsoft Advertising (Bing Ads) API. Gives an MCP client live read and management access to your Microsoft Advertising accounts — reporting, campaign structure, and full write operations.

Multi-cloud pricing comparison MCP server that enables natural language queries to compare compute, storage, egress, and Kubernetes costs across AWS, Azure, GCP, and OCI.

MCP server that converts hardware specs into Azure price quotes using live Azure Retail Prices API. Provides tools to propose VM flavors, get full quotes with disk and reservation options, and batch-analyze RVTools exports.

This MCP server enables querying Azure resource pricing programmatically through a structured workflow, including listing service families, service names, products, and calculating monthly costs.

Enables querying Azure retail pricing information, comparing costs across regions and SKUs, estimating usage-based expenses, and discovering Azure services with savings plan information through the Azure Retail Prices API.

A Model Context Protocol server that enables programmatic querying of Azure resource pricing information from the Azure Retail Prices API through a structured four-step workflow.

Integrates Azure Cost Management APIs via MCP, enabling cost queries, forecasts, budgets, and Advisor recommendations through natural language in compatible clients.

An MCP server that gives Claude live access to Azure pricing and cost data — retail prices, VM comparisons, reservation analysis, architecture estimates, and actual subscription spend.

Provides real-time and historical cryptocurrency price data from multiple exchanges including Coinbase, Binance, and Kraken. It enables users to fetch prices with customizable parameters such as specific timestamps, time resolutions, and fiat currency conversions.

Enables AI-driven banking workflows through secure interaction with Apache Fineract/MifosX Self-Service APIs, including authentication, account management, loans, savings, and transfers.

Enables LLM clients to interact with Azure cost analysis, budget tracking, forecasting, and resource optimization across multiple subscriptions.

A Node.js service that provides spot trading functionality through the LnExchange API.

Production-grade MCP server for enterprise Azure cost optimization, enabling spend anomaly detection, multi-tenant auditing, budget validation, and compliance-aware recommendations.

Analyzes Azure cloud costs, audits for waste, and provides budget insights via natural language through a secure local MCP server.

Enables deep analysis of SEC EDGAR filings through universal company search, document content extraction, and advanced filing search capabilities. Provides AI-ready access to business descriptions, risk factors, financial statements, and full-text search across any public company's SEC documents.

MCP server for Azure cost analysis via the Azure Cost Management Query API, deployed to Google Cloud Run for use with Gemini Enterprise.

56 pay-per-call MCP endpoints for AI agents. Market signals, macro economics, crypto/DeFi, geopolitical intelligence, SEC filings, GitHub velocity, sanctions screening. USDC on Base Mainnet via x402.

Enables AI agents and their users to retrieve scored news sentiment, narratives, historical readings, and cited sources for Bitcoin, gold, and oil, with tamper-evident, time-stamped data for trading decisions.