DoiT MCP. Manage multi-cloud costs from a single chat session.
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DoiT MCP Server manages cloud costs across AWS, GCP, and Azure. It lets your AI agent list all assets, track budgets, and spot cost spikes using the DoiT API.
You can check total spending, audit specific resources, and find out which budgets are over limit—all via natural language conversation.
What your AI agents can do
Get asset details
Retrieves detailed configuration and cost data for one specific cloud asset.
Get billing cost summary
Gets a high-level summary of total cloud spending across all connected platforms.
Get doit account metadata
Retrieves metadata for the current DoiT organization.
Retrieves a complete inventory of all managed assets across AWS, GCP, and Azure.
Pulls specific configuration and cost data for a single, named cloud asset.
Lists all configured spending budgets and their current consumption status.
Scans the infrastructure to list all unexpected spending spikes and cost anomalies.
Identifies and reports on high-severity cost anomalies requiring immediate attention.
Provides a high-level summary of total cloud expenditure across all connected platforms.
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DoiT MCP Server: 10 Tools for Cloud Cost & Asset Management
Use these 10 tools to analyze spending, list assets, and detect anomalies across all connected cloud platforms in a single chat workflow.
019d7588get asset details
Retrieves detailed configuration and cost data for one specific cloud asset.
019d7588get billing cost summary
Gets a high-level summary of total cloud spending across all connected platforms.
019d7588get doit account metadata
Retrieves metadata for the current DoiT organization.
019d7588list cloud assets
Lists every cloud asset (AWS, GCP, Azure) that DoiT manages.
019d7588list connected cloud accounts
Lists every AWS, GCP, or Azure account connected to DoiT.
019d7588list cost anomalies
Lists all detected cloud cost anomalies and unexpected spending spikes.
019d7588list cost budgets
Lists all cloud spending budgets set up in DoiT.
019d7588list critical cost spikes
Identifies high-severity cost anomalies that need immediate attention.
019d7588list exceeded cost budgets
Finds budgets that have surpassed their set spending limits.
019d7588search cloud assets
Searches for cloud assets using a keyword in their name.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with DoiT, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
DoiT MCP Server lets your AI agent manage costs and assets across AWS, GCP, and Azure. You can list every cloud asset DoiT manages, check the total spending summary across all platforms, and spot cost spikes using the DoiT API. You'll also see all connected cloud accounts and the metadata for the current DoiT organization. list_cloud_assets gives you a full inventory of every asset. list_connected_cloud_accounts lists all AWS, GCP, or Azure accounts DoiT tracks. get_doit_account_metadata pulls the metadata for the current DoiT organization. search_cloud_assets lets you search for assets by keyword in their name. get_asset_details pulls specific configuration and cost data for any single cloud asset. list_cost_budgets shows every spending budget set up in DoiT, and list_exceeded_cost_budgets finds which of those budgets have gone over their set limits. get_billing_cost_summary gives you a high-level summary of total spending across all platforms. list_cost_anomalies scans the infrastructure to list all unexpected cost spikes and cost anomalies. list_critical_cost_spikes pinpoints high-severity cost anomalies that need immediate attention. list_cost_anomalies also lists all unexpected spending spikes and cost anomalies.
You can check which budgets are over limit and get a total spending summary, all through natural language conversation.
How DoiT MCP Works
- 1 Connect the DoiT integration to your AI client.
- 2 Authorize the connection using your DoiT API Key.
- 3 Ask your agent to perform a cost check (e.g., 'What are the critical cost spikes?') to get the data.
The bottom line is that your AI agent uses the DoiT API to read and analyze your cloud spending data.
Who Is DoiT MCP For?
FinOps teams, Cloud Architects, and Operations Leads need this. It lets them manage spending across multiple cloud providers without jumping between dashboards. It cuts down the time spent manually checking budgets and hunting for cost spikes.
Uses the tool to check budget status and total cloud spending quickly, answering questions like, 'Are we hitting our monthly spend limit?'
Audits multi-cloud asset configurations and platform associations via chat, ensuring proper resource tagging and setup.
Monitors cost anomalies and critical spending alerts across the organization instantly, knowing exactly where to look when a spike hits.
What Changes When You Connect
- Audit every asset. Use
list_cloud_assetsto get a full inventory of your AWS, GCP, and Azure resources. Then, useget_asset_detailsto pull the exact configuration and cost data for any specific asset you point to. - Stop guessing about spending.
get_billing_cost_summarygives you a single, clear number for your total cloud spending right now, regardless of which cloud provider caused it. - Catch problems before they hit the bill.
list_cost_anomaliesscans for unexpected spending spikes, letting you know exactly when something goes wrong, even if nothing is formally over budget. - Know your limits. Use
list_cost_budgetsto see every budget you've set up, and thenlist_exceeded_cost_budgetsto see which ones are currently broken. - Focus on the worst stuff. Instead of sifting through thousands of lines of logs,
list_critical_cost_spikesisolates only the high-severity cost issues that need your immediate attention. - Pinpoint the cause. If a cost is too high, use
search_cloud_assetsto narrow down the search, andget_asset_detailsto confirm which specific asset is the culprit.
Real-World Use Cases
The monthly budget review.
The FinOps Analyst needs to know if the dev sandbox hit its cap. They ask the agent to run list_exceeded_cost_budgets. The agent replies with the specific budget name and how far over the limit it is. The analyst then uses get_asset_details on the associated assets to determine if the spike is due to a known migration or a bug.
Investigating an unexpected spike.
An Operations Lead gets an alert about a massive cost spike on GCP. Instead of logging into the console, they ask the agent to run list_cost_anomalies. The agent identifies the BigQuery spike and provides the context, allowing the lead to immediately ask the agent to run get_asset_details on that specific service for a root cause.
Cloud architecture audit.
A Cloud Architect needs to confirm that all development environments are properly tagged and provisioned. They use list_cloud_assets to pull the full asset list, then use search_cloud_assets to filter down to only 'staging' environments, ensuring nothing is missed.
Understanding total spend.
The executive team needs a quick, cross-cloud view of spending. They ask the agent to run get_billing_cost_summary. The agent instantly returns the total expenditure, breaking it down by AWS, GCP, and Azure, providing the high-level picture needed for the board meeting.
The Tradeoffs
Checking assets one by one
Manually going into the AWS console, then the GCP console, then the Azure console, and checking asset by asset. This is slow, and you miss cross-cloud dependencies.
→
Use list_cloud_assets to get a complete inventory across all platforms. Then, use search_cloud_assets to narrow the list, and finally get_asset_details for the specific data you need. Keep the process in the chat.
Ignoring anomalies
Seeing a red warning banner but just ignoring it because the cost hasn't hit the hard budget limit yet. This is how silent overspending happens.
→
Always run list_cost_anomalies first. This tool finds unexpected spikes before they breach a budget, giving you early warning on suspicious spending.
Assuming full visibility
Thinking that because your billing dashboard shows a total, you know what caused every dollar. The dashboard rarely links the cost back to the specific, non-optimized asset.
→
Start with get_billing_cost_summary for the total. Then, immediately call list_cost_anomalies and list_exceeded_cost_budgets to find the problem areas. Finally, use get_asset_details to map the cost back to a specific asset.
When It Fits, When It Doesn't
Use DoiT MCP Server if you need a single pane of glass to manage costs across AWS, GCP, and Azure. You must need cross-cloud visibility—the ability to ask, 'Why is my total spend up 15%?' and get a detailed, attributed answer. Don't use it if your only need is to view historical reports that don't require real-time querying. If you just need a simple list of assets, list_cloud_assets is enough. But if you need to correlate that list with real-time spending alerts, you need the full server.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DoiT. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking cloud spend usually means clicking through four different dashboards.
Right now, if you want to know if your dev team is over budget, you open the AWS bill. Next, you have to log into the GCP console to check their spending, and then repeat the whole process for Azure. You copy numbers, you compare tabs, and you spend 30 minutes just gathering a rough total.
With the DoiT MCP Server, you ask your agent: 'What's our total spending across all clouds?' It runs `get_billing_cost_summary` and gives you the full picture in one chat reply, broken down by provider. No clicking, no switching consoles.
DoiT MCP Server: Know your spending and assets instantly.
You don't have time to wait for a manual audit. You can't afford to wait for the monthly report. You just ask the agent, 'Are there any unexpected cost spikes?' and it runs `list_cost_anomalies` immediately, telling you the exact service and the percentage increase.
The difference is instant action. You stop waiting for the bill. You get real-time alerts and the immediate ability to query the asset details for the root cause.
Common Questions About DoiT MCP
How do I use the `list_cost_anomalies` tool with DoiT MCP Server? +
Just ask the agent, 'List all cost anomalies.' The tool runs automatically, identifying any unexpected spending spikes across all connected cloud accounts and detailing the magnitude of the increase.
Does DoiT MCP Server show me assets for all three clouds? +
Yes, the server manages assets across AWS, GCP, and Azure. You can use list_cloud_assets to get a single, unified inventory regardless of the underlying cloud provider.
Can I check if a budget was exceeded using DoiT MCP Server? +
Yes, the list_exceeded_cost_budgets tool specifically finds and reports on budgets that have surpassed their configured spending limits.
What is the difference between `list_cost_anomalies` and `list_critical_cost_spikes`? +
Anomalies (list_cost_anomalies) catch any unexpected spike. Critical spikes (list_critical_cost_spikes) are a filtered subset of those that require immediate, high-priority attention.
How do I get detailed cost data for one resource? +
Run get_asset_details and provide the specific asset ID or name. This tool pulls the full configuration, cost, and usage data for that single resource.
What is the best way to start tracking my spending with the `get_billing_cost_summary` tool? +
You simply ask for the summary. Your AI agent runs get_billing_cost_summary and gives you a high-level breakdown of total spending across all platforms. This is perfect for getting a quick, immediate view of your cloud budget.
How does `list_connected_cloud_accounts` help me manage my overall cloud environment? +
It provides a definitive list of all connected AWS, GCP, or Azure accounts. This lets you confirm coverage across your entire multi-cloud setup before running other cost checks.
If I want to find a specific resource, should I use `search_cloud_assets` or `list_cloud_assets`? +
Use search_cloud_assets when you know a name keyword and need to pinpoint a specific asset. If you just want a comprehensive list of everything, use list_cloud_assets.
How do I get a DoiT API Key? +
Log in to your DoiT Console, navigate to Settings > API, and you can generate or retrieve your unique API Key from there. Ensure your user has the necessary administrative permissions.
Which cloud platforms are supported? +
DoiT supports major cloud providers including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
Can the agent show me real-time spending alerts? +
Yes, you can use the list_cost_anomalies or list_critical_cost_spikes tools to identify unexpected spending increases across your infrastructure instantly.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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