cloudchipr

Endpoint

Hosted endpoint · transport http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

Tools

• get_cloud_accounts — Lists connected cloud accounts with cost, waste, and savings totals.
• get_cloud_account — Full detail for a single account, including missing permissions and who connected it.
• get_provider_organizations — Lists AWS Organizations, GCP Organizations and Azure Tenants, with their Savings Plans and commitments.
• get_billing_data — Aggregates spend by time, service, account, region, tag or dimension, with trends and month-end forecasts.
• get_billing_providers — Lists the providers and data sources that have billing data.
• get_custom_sources — Lists custom and third-party data sources.
• get_billing_groupings — Discovery tool - the valid groupings/dimensions a cost query may use.
• get_billing_filters — Discovery tool - the valid filters a cost query may use.
• get_billing_filter_values — Discovery tool - the valid values for a given billing filter.
• validate_billing_query — Checks a complex cost query before it runs, so results are right the first time.
• get_savings_summary — The headline potential-savings figure across the whole organization.
• get_provider_total_saved_amount — The amount already saved with CloudChipr for one provider.
• filter_opportunities — Browses opportunities sorted by monthly savings, with filters for provider, region, savings amount, effort and tags.
• get_opportunity — Every recommendation recorded for a single resource, including alternatives.
• get_opportunity_filters — Discovers the filters available for opportunities.
• list_opportunity_views — Lists saved opportunity views.
• get_opportunity_view — Opens a saved view by name to see its filters and columns.
• filter_live_resources — Lists resources of one type across accounts, with per-service spend and estimated waste.
• get_live_resource — Full detail for a single resource, including its cloud-console link.
• get_resource_metrics — Utilization metrics (CPU, memory, network and more) for a single resource.
• get_resource_tag_keys — Discovers the tag keys present on resources.
• get_resource_tag_values — Discovers the values a given resource tag key takes.
• get_k8s_clusters — Lists clusters with total, idle and reserved cost and CPU/memory utilization.
• filter_k8s_resources — Lists objects at one level (nodes, namespaces, deployments, statefulsets, daemonsets, jobs, pods) with counts and spend.
• get_k8s_resource_utilization — Per-resource CPU and memory usage versus requests and limits - the right-sizing signal.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.

Work with this as data

Every MCP server here is available over the APIs.io API and to AI agents over MCP.

curl "https://apis.io/api/v1/mcp/cloudchipr"

curl "https://apis.io/api/v1/mcp?limit=25"