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Cloudzero MCP Server: Bridge Cloud Data with LLMs - MCP Implementation

Cloudzero MCP Server: Bridge Cloud Data with LLMs

Bridge your cloud data with LLMs via CloudZero's MCP Server – seamless API integration for actionable insights and automated workflows.

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About Cloudzero MCP Server

What is Cloudzero MCP Server: Bridge Cloud Data with LLMs?

Cloudzero MCP Server is a middleware solution enabling Large Language Models (LLMs) to interact with cloud cost data via the Model Context Protocol (MCP). By connecting to the CloudZero API, it empowers tools like Claude Desktop to query billing metrics, visualize trends, and automate cost analysis workflows through natural language interactions.

How to use Cloudzero MCP Server: Bridge Cloud Data with LLMs?

  1. Install dependencies: uv and configure Claude Desktop
  2. Generate your CloudZero API key and set environment variables
  3. Deploy the server as a background process using uv run mcp install server.py
  4. Modify claude_desktop_config.json to point to your workspace
  5. Restart Claude Desktop and start querying cost data through LLM interfaces

Cloudzero MCP Server Features

Key Features of Cloudzero MCP Server: Bridge Cloud Data with LLMs?

  • Native MCP integration for bidirectional data exchange
  • Pre-built tools like get_costs, budget_analysis, and spend_trends
  • Real-time visualization capabilities through API response parsing
  • Secure authentication via environment variable-based API keys

Use cases from Cloudzero MCP Server: Bridge Cloud Data with LLMs?

Deploy this solution to:

  • Automate monthly cost reporting with natural language queries
  • Create dynamic dashboards by asking "Show me Q3 cost distribution"
  • Trigger budget alerts when spending exceeds thresholds
  • Perform root cause analysis for unexpected cost spikes

Cloudzero MCP Server FAQ

FAQ from Cloudzero MCP Server: Bridge Cloud Data with LLMs?

Q: How do I debug connection issues?
A: Use uv debug to trace API calls and verify authentication headers
Q: Can this work with other LLM platforms?
A: Yes, any MCP-compliant interface can integrate through standard protocol adapters
Q: What data scope is accessible?
A: Permissions are governed by your CloudZero API key privileges - review scopes at official documentation

Content

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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