Compare Cloud Costs MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CCC_API_KEY | Yes | Your free Compare Cloud Costs API key, used as the X-API-Key header for tool calls. Generate one at https://comparecloudcosts.com/mcp. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| compare_cloud_pricingB | Query and compare multi-cloud compute, database, and serverless pricing across AWS, Azure, Google Cloud, Oracle, DigitalOcean, Alibaba, and Cloudflare. |
| search_ai_modelsB | Search token pricing (Input, Output, Prompt Caching) and context windows for AI LLMs across OpenAI, Anthropic, DeepSeek, Mistral, Meta Llama, and Cohere. |
| estimate_workload_architectureC | Calculates end-to-end multi-cloud cost benchmarks for realistic full-stack architectures (VMs + Managed DB + Load Balancers + Storage + Egress). |
| lookup_datacenter_complianceB | Checks global data center availability, region locations, and compliance certifications (SOC 2, ISO 27001, HIPAA, PCI-DSS, FedRAMP). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool targets a distinct resource: AI model token pricing, cloud infrastructure pricing, full-stack workload estimation, and datacenter compliance. There is mild overlap between compare_cloud_pricing and estimate_workload_architecture since both deal with compute costs, but they operate at different levels of abstraction (raw pricing vs. composed architecture benchmarks) which keeps them separable.
All four tools follow a consistent snake_case verb_noun pattern (search_ai_models, compare_cloud_pricing, estimate_workload_architecture, lookup_datacenter_compliance). The verb choice is clear and predictable across the set.
Four tools is a lean but reasonable surface for a cost-comparison server, with each tool earning its place across distinct resource types. It is slightly thin—one might expect an additional tool for pure region/instance lookup—but nothing redundant is present.
The surface covers AI pricing, cloud pricing, workload estimation, and compliance/region lookup, which addresses the core cost-comparison workflow. Minor gaps exist, such as historical pricing trends or detailed per-instance configuration calculators, but agents can work around these.