Model Context Protocol

Bring Cloudchipr to your AI tools

The Cloudchipr MCP Server lets Claude, Cursor, ChatGPT, and any MCP client query your multi-cloud cost data, surface savings, and explore live resources, all in plain language.

Connected in Under a Minute

No agents to install, nothing to self-host. The Cloudchipr MCP server is fully hosted. Add the URL, authenticate, and start asking.
1

Add the server

Point your MCP client at https://mcp.cloudchipr.com/mcp from its connectors or integrations settings.

2

Authenticate

Sign in with your Cloudchipr account over OAuth 2.0, or pass an API key as a Bearer token for headless and CI use.

3

Ask anything

"What did GCP cost us last quarter?" "Which EC2 instances have been idle for 30 days?" Your assistant picks the right tools.

Plug Cloudchipr into the AI tools you already use

One hosted endpoint connects your Cloudchipr workspace to Claude, Cursor, ChatGPT and any MCP-compatible agent. No packages to install, no infrastructure to run, point your client at the server and start asking questions.

Converse with your multi-cloud cost data

Ask about spend the way you would ask a teammate. The model queries Billing Explorer for you, grouping by service, account, region, or tag across all your cloud providers, and returns the numbers, trends, and anomalies behind them.
ai spend dashboard

Surface savings opportunities on demand

Pull rightsizing, idle-resource, and commitment recommendations straight into your chat. The agent ranks them by monthly savings and implementation effort, so the next action is always clear.

Make FinOps accessible to every team

Finance, engineering and leadership can each ask their own questions in their own words, no dashboards to learn, no query language to memorize. Everyone reads from the same source of truth, scoped to their permissions.

Combine with other MCP servers

Chain the Cloudchipr MCP with GitHub, Slack or Notion to build richer workflows, tie a cost anomaly to the pull request that caused it, or turn a savings finding into a tracked task without leaving the conversation.

The Full FinOps Surface, Not Just a Billing Query

Most cost MCP servers stop at spend reports. Cloudchipr exposes billing, savings, live inventory, and Kubernetes as first-class tools.

Billing Explorer

7 tools

Query spend across all your cloud providers with any grouping, filter, and date range. Discovery tools surface valid dimensions first, so queries succeed on the first try.

"Show month-over-month spend by service for the data team's accounts"

Savings Opportunities

7 tools

Surface idle, oversized, and orphaned resources with monthly waste estimates, filters by account, region, or tag, and direct console links for every finding.

"What are our top 10 savings opportunities right now?"

Live Resources

5 tools

Inventory running resources in real time: EC2, RDS, disks, load balancers, and more, with utilization metrics and tags attached to every record.

"List EC2 instances below 3% CPU for the last 30 days"

Kubernetes

3 tools

Cluster costs, workload-level filtering, and CPU and memory utilization versus requests over time. Cost visibility down to the resources inside your clusters.

"Which workloads in prod-cluster are over-requesting memory?"

Accounts & Organizations

3 tools

Resolve connected cloud accounts and organizations so every other tool targets exactly the right scope, mapped to your Cloudchipr permissions.

"Which cloud accounts do we have connected, by provider?"

Write Actions

Coming soon

Your assistant will soon be able to act on what it finds, with the same RBAC guardrails that scope what it sees.

"Stop these idle instances and notify #cloud-costs"

Why Teams Trust Cloudchipr

Teams using Cloudchipr to manage cloud and AI costs see measurable results.
Customers save
$180k/mo
On average
Engineering teams save
200h/mo
On average
Over
$200m
Saved in total so far

Explore Related Use Cases

Enterprise-grade security

Cloudchipr meets enterprise-grade security compliance requirements to ensure the confidentiality, integrity, and availability of your data.
Learn More
Cloudchipr saved us 30% on our multi-cloud costs. We run several automation workflows that continuously scan our dev and sandbox accounts, cleaning up idle resources and helping us prevent future waste.
Edgar from ServiceTitan
Head of Infrastructure
Cloudchipr's automation workflows saved us thousands of engineering hours on cost optimization and reduced our cloud expenses by seven figures on AWS, GCP, and Azure.
Catherine from D2iQ
VP of Engineering
Cloudchipr found legacy resources that were costing us a significant amount of money every day. Now, we use it as a background service to ensure we only pay for what we actually use across all clouds.
Davit from SuperAnnotate
Co-Founder & CTO
Cloudchipr has been a game-changer for us. Their platform helped us cut cloud costs by 60%, while their DevOps team seamlessly migrated our workload to the cloud and ensured 99.99% uptime.
Tigran from CodeSignal
CEO
Cloudchipr helped us cut our cloud costs by 40%. We set up automated workflows that continuously scanned our environment and cleaned up orphaned resources every day, saving us both time and money.
Diana from Digital.ai
Head of FinOps Engineering

Take full control of your Cloud and AI costs

Connect your accounts in minutes and start saving with Cloudchipr. No credit card required.