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Cloudability Api Server MCP Server

@eelzinaty

Basic information

About Cloudability Api Server MCP Server

A comprehensive Model Context Protocol (MCP) server for the Cloudability API, providing advanced cost management, Kubernetes container analytics, and budget forecasting capabilities

#kkubernetes#ibm#finops#cloudability

Cloudability Api Server MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "cloudability": {
      "command": "uv",
      "args": [
        "run",
        "python",
        "main.py"
      ],
      "cwd": "/path/to/cloudability-mcp-server",
      "env": {
        "CLOUDABILITY_API_URL": "https://api.cloudability.com/v3",
        "CLOUDABILITY_ENVIRONMENT_ID": "your-environment-id",
        "CLOUDABILITY_DEFAULT_VIEW_ID": "12345",
        "CLOUDABILITY_KEY_ACCESS": "your-public-key",
        "CLOUDABILITY_KEY_SECRET": "your-private-key",
        "CLOUDABILITY_FRONTDOOR_URL": "https://frontdoor.apptio.com/service/apikeylogin"
      }
    }
  }
}

Cloudability Api Server MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Cloudability Api Server?

Cloudability Api Server is a Model Context Protocol (MCP) server that wraps the Cloudability API, providing advanced cost management, Kubernetes container analytics, and budget forecasting capabilities. It is intended for teams managing cloud costs and containerized workloads across AWS, Azure, GCP, IBM, and OCI.

How to use Cloudability Api Server?

Clone the repository, install dependencies with uv sync, copy the .env.example to .env and set Cloudability credentials (API URL, environment ID, and optionally Frontdoor API keys), then run uv run python main.py. Configure your MCP client to point to the server with the uv run python main.py command and appropriate environment variables.

Key features of Cloudability Api Server

  • Container cost allocation, provisioning, analytics, and label discovery
  • Cost reporting with 15 dimensions and 8 metrics
  • Budget lifecycle management with forecasting and alerts
  • Current month spending estimates and multi-month predictive forecasts
  • Vendor account listing for AWS, Azure, GCP, IBM, OCI
  • Flexible authentication: Bearer token, Frontdoor API keys, or Basic auth
  • Multi-region support: US, EU, APAC, ME
  • Resource caching with configurable TTL (default 15 minutes)

Use cases of Cloudability Api Server

  • Allocate Kubernetes container costs by namespace, workload, or label
  • Manage cloud budget lifecycles and receive forecast alerts
  • Generate current-month spending estimates with service-level breakdowns
  • Retrieve vendor accounts from multiple cloud providers for cost analysis
  • Build custom cost reports with advanced filtering and grouping

Frequently asked questions

1

What are the runtime requirements?

Python 3.14+ and the `uv` package manager. You also need Cloudability API access (Bearer token, API key, or Frontdoor API keys).

2

How does authentication work?

Three methods: 1) Frontdoor API keys automatically acquire an apptio‑opentoken when set in environment variables; 2) Bearer token with a manually provided apptio‑opentoken; 3) Legacy Basic auth with an API key.

3

What tools does the server expose?

Tools for container management (provision cluster, get deployment YAML, containers report, resource usage, label discovery, cluster info), budgets (list, get, get spending estimate), forecasts, and vendor account listing (AWS, Azure, GCP, IBM, OCI).

4

Is there rate limiting?

Yes. The `get_spending_estimate` tool is rate‑limited to 10 requests per user per minute and 20 per organization per minute.

5

Can I use the server in different regions?

Yes. Configure `CLOUDABILITY_API_URL` and `CLOUDABILITY_FRONTDOOR_URL` for US, EU, APAC, or ME regions, each with their own endpoints.

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