"Deutsche Post" matching MCP servers:

Lets AI agents estimate the cost and result size of BigQuery and Snowflake queries before they run, then execute them only within per-call byte, row, and dollar bounds. Estimates are labeled with an accuracy tier so agents never over-trust an approximate figure.

Enables estimating a BigQuery query's cost before running it, using a free dry run to report bytes processed and the estimated on-demand USD charge. It also flags common sources of wasted spend, such as SELECT * and missing partition filters on partitioned tables.

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

Deploy Claude-generated websites to EliteSpec hosting in one tool call. deploy_site / update_site / list_sites tools give the model a live URL on elitespec.co.nz seconds after writing HTML/CSS/JS.

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.

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.

An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.

A command-line interface and API that allows users to analyze and visualize AWS cloud spending data by enabling Claude to query AWS Cost Explorer through natural language conversations.

One-call static page/site deploys for AI agents — POST HTML, a files map, or a zip and get back a live unguessable URL. Remote endpoint at https://ship.page/mcp, free tier needs no account or API key.

Read-only AWS cost diagnostic server that enables AI agents to detect idle resources and orphaned assets, surfacing potential savings via boto3 describe calls.

Enables AI assistants to analyze Azure Data Factory costs, detect waste, and provide optimization recommendations by querying pipeline run metadata and Azure pricing.

Enables querying AWS Cost and Usage Report data via Amazon Athena for cost-effective and detailed cost analysis.

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

AWS Cost Explorer + Anomaly Detection exposed as MCP tools. Surface unusual spend by service/account/tag, pull cost breakdowns, forecasts, savings recommendations. Read-only IAM — refuses to start if the role can modify resources. Curated by Archimedes Market with a verified Trust Report.

Enables analysis of AWS costs and usage through the AWS Cost Explorer API, supporting multi-account architectures with role assumption and cost comparison, forecasting, and anomaly detection.

Enables scanning AWS accounts for cost optimization opportunities by reading resource configurations and pricing data, without making any modifications.

Enables running a minimal, dependency-free Model Context Protocol server on Cloudflare Workers that exposes custom tools to MCP clients over plain POST, with optional token auth and rate limiting.

Enables natural-language analysis of AWS cloud spending and Amazon Bedrock model invocation usage, including breakdowns by service, region, day, user, model, and cross-account data.

Enables natural-language queries of AWS spending by service, region, day, and instance type, and of Amazon Bedrock usage from CloudWatch model-invocation logs, including optional cross-account cost analysis.

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