burkestar cloudzero mcp

burkestar cloudzero mcp avatar

by burkestar

Talk to your cloud data using CloudZero API and Model Context Protocol (MCP) server for LLM tool calling

What is burkestar cloudzero mcp

Cloudzero Model Context Protocol (MCP) server

Talk to your cloud cost data in Cloudzero from a Large Language Model (LLM).

Ask questions about your cost data such as plotting a month over month difference:

monthly diff

How it works

Uses CloudZero v2 API and the Model Context Protocol MCP.

graph LR
    %%{init: {'theme':'neutral'}}%%
    %% Define nodes
    A[MCP Host]
    B[Local MCP Server]
    C[CloudZero API]
    D[(Cloud Costs Data)]

    %% Define connections
    A -->|JSON-RPC 2.0| B
    B -->|HTTP/JSON| C
    C <--> D

    subgraph CloudZero_SaaS
    C
    D
    end

    subgraph Background_process
    B
    end

    subgraph Claude_Desktop
    A
    end

    subgraph Local_Machine
    Claude_Desktop
    Background_process
    end

    %% Define styles
    classDef client padding:10px
    classDef server padding:10px
    classDef api padding:10px
    classDef db padding:10px

    %% Apply styles
    class A client
    class B server
    class C api
    class D db

Once the MCP server is configured in Claude Desktop, it will be launched as a background process at startup. Claude Desktop as the MCP Host will send an initiatize request to the MCP Server. The server responds with its capabilities, which includes prompts and tools for tool calling.

The server implements several tools specific to CloudZero:

  • get_costs to get billing data from start_date to end_date
  • get_dimensions for billing dimensions
  • list_budgets to list budgets
  • list_insights to list insights

The MCP protocol uses JSON-RPC 2.0 for requests and responses.

Setup

Install Claude Desktop:

Install uv

Setup the project dependencies:

uv init
uv sync

Generate your CloudZero API key.

Edit .env with:

CLOUDZERO_API_KEY=YOUR_SECRET_KEY

Install

To install the MCP server into Claude Desktop:

uv run mcp install server.py

Edit your claude_desktop_config.json to set the proper path to the uv command and update your USERNAME as below.

This config file can be located in Claude Desktop under Settings > Developer > Edit Config.

    "CloudZero": {
      "command": "/Users/USERNAME/.local/bin/uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "/Users/USERNAME/workspace/open_source/cloudzero-mcp/server.py"
      ]
    }

Restart Claude Desktop. When the Desktop starts, it will launch the server process in the background. You may see errors, and can drill into the logs to see what the problem is.

If no errors, try asking "what tools are available for cloud billing" to see it listed.

which tools available

See Claude Desktop MCP documentation for more info.

Debug

For debugging, you can run the MCP development server with an interactive GUI to inspect:

uv run mcp dev server.py

This is useful for troubleshooting bugs in your code without having to continuously restart Claude Desktop.

mcp inspector

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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