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Work with DoiT MCP server

This page explains how to work with the DoiT MCP server, including usage examples and the DoiT tools it utilizes.

DoiT MCP server tools​

The DoiT MCP server provides the following tools:

  • get_cloud_incidents: Retrieve cloud incidents from various platforms.
  • get_cloud_incident: Get details about a specific cloud incident by ID.
  • get_anomalies: Retrieve anomalies detected in cloud resources.
  • get_anomaly: Get details about a specific anomaly by ID.
  • list_reports: List Cloud Analytics reports that your account has access to.
  • run_query: Run a report query with the specified configuration without persisting it.
  • get_report_results: Get the results of a specific report by ID.
  • validate_user: Validate the current API user and returns domain and email information.
  • list_dimensions: List Cloud Analytics dimensions that your account has access to.
  • get_dimension: Get a specific Cloud Analytics dimension by type and ID.
  • list_tickets: List support tickets from DoiT using the support API.
  • create_ticket: Create a new support ticket in DoiT using the support API.
  • list_invoices: List all current and historical invoices for your organization from the DoiT API.
  • get_invoice: Retrieve the full details of an invoice specified by the invoice number from the DoiT API.

Usage examples​

Caution

The outputs and recommendations provided by the DoiT MCP server are generated dynamically and may vary based on the query. You should thoroughly review all outputs/recommendations to ensure they align with your organization's security best practices, cost-efficiency goals, and compliance requirements before implementation.

Your AI tool may be integrated with other MCP servers. To ensure your request yields the intended results, you should frame your request with relevant contextual cues for the DoiT MCP server. Some common queries that you might ask include: What are my top 3 AWS services by cost, What are my recent cost anomalies, Show me the results of my Monthly Cost Overview report, and List all my invoices.

In addition, you can use deep research when asking questions or making requests related to DoiT Cloud Intelligence data. This is useful as the MCP server can provide more granular insight into invoices, cost anomalies, resources, and so on. To do this using Claude:

  1. Ask What are my last 3 anomalies?

  2. Once you have the list, in the reply prompt, select Research.

  3. In the reply prompt, ask for more in-depth information: Investigate number 3 - 3. Cloud run anomaly - June 18, 2025. What caused it? How frequently does it happen? How can we prevent it from happening again?. Claude performs a deep dive into the anomaly.

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