FOCUS MCP Server

Get comprehensive cloud cost visibility and optimization insights at glassity.cloud

An educational MCP (Model Context Protocol) server for analyzing FOCUS (FinOps Open Cost & Usage Specification) billing data. This server provides AI assistants with powerful tools to query and analyze cloud cost data using the industry-standard FOCUS format.

What is FOCUS?

FOCUS (FinOps Open Cost & Usage Specification) is an open standard for cloud billing data that provides consistent, normalized cost and usage data across cloud providers like AWS, Azure, and Google Cloud. It enables organizations to:

Standardize cost data across multiple cloud providers
Simplify financial analysis and reporting
Enable consistent FinOps practices
Improve cost optimization and allocation

What This Server Does

This MCP server connects AI assistants (like Claude) to your FOCUS billing data, enabling natural language queries for complex cost analysis. Instead of writing SQL manually, you can ask questions like:

"What are my highest cost services by region this month?"
"Show me commitment discount utilization trends"
"Find anomalous spending patterns by account"

The server provides:

🔍 36+ predefined queries from the official FOCUS documentation
📊 DuckDB-powered analytics for fast querying of large datasets
🔄 Multi-version support (FOCUS v1.0, v1.1, v1.2)
📚 Schema documentation with column/attribute definitions from FOCUS spec
🎯 Educational examples with citations to official docs

Features

MCP Tools Available

Data & Query Tools:

get_data_info - Inspect your loaded FOCUS data (row counts, date ranges, providers)
list_use_cases - Browse 36+ predefined analysis queries
get_use_case - Get detailed info about specific queries (SQL, parameters, citations)
execute_query - Run custom SQL or predefined queries on your data

Schema & Specification Tools:

list_columns - List all FOCUS columns with metadata (type, requirement level)
get_column_details - Get detailed information for specific columns
list_attributes - List FOCUS formatting standards and conventions
get_attribute_details - Get detailed requirements for specific attributes

Query Library

36+ Professional Queries (more queries for later versions): Curated from focus.finops.org use cases
Version Support: Queries for FOCUS v1.0, v1.1, and v1.2
Real-world Scenarios: Cost optimization, budget tracking, anomaly detection
Official Citations: Each query links back to the FOCUS documentation

Quick Start

1. Prepare Your FOCUS Data

This server works with FOCUS billing data in Parquet format with Hive partitioning, supporting both local files and S3 storage.

Local Data

hljs language-bash

# Set your data location for local files
export FOCUS_DATA_LOCATION="/path/to/your/focus/data"

# Expected structure:
# /path/to/your/focus/data/
# ├── billing_period=2025-05/
# │   ├── file1.parquet
# │   └── file2.parquet
# ├── billing_period=2025-06/
# │   └── ...

S3 Data

hljs language-bash

# Set your data location for S3
export FOCUS_DATA_LOCATION="s3://your-bucket/focus-exports"

# Optional: Set AWS region (defaults to us-east-1)
export AWS_REGION="us-west-2"

# Note: Some S3 buckets store files with a leading slash in the path
# In such cases, you may need a double slash after the bucket name:
# export FOCUS_DATA_LOCATION="s3://your-bucket//focus/path"

# Authentication happens automatically via AWS credential chain:
# 1. IAM Role (automatic on EC2/ECS/Lambda)
# 2. Environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)
# 3. AWS Profile (set AWS_PROFILE env var to use a specific profile)
# 4. ~/.aws/credentials file

# Example: Use a specific AWS profile
export AWS_PROFILE="billing-reader"

Getting FOCUS Data:

AWS: Follow the official FOCUS setup guide for AWS
Microsoft Azure: Follow the official FOCUS setup guide for Microsoft
Google Cloud: Follow the official FOCUS setup guide for Google Cloud
Other Providers: See all FOCUS setup guides

2. Install & Configure with Docker (Recommended)

The server is available as a Docker image on both Docker Hub and GitHub Container Registry.

Pull the Docker Image

hljs language-bash

# From Docker Hub (recommended)
docker pull glassity/focus-mcp:latest

# Or from GitHub Container Registry
docker pull ghcr.io/glassity/focus-mcp:latest

# Or use a specific version
docker pull glassity/focus-mcp:v0.1.1

Configure Claude Desktop

Add to your Claude Desktop claude_desktop_config.json:

For local FOCUS data:

hljs language-json

{
  "mcpServers": {
    "focus": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "/path/to/your/focus/data:/data:ro",
        "-e",
        "FOCUS_DATA_LOCATION=/data",
        "-e",
        "FOCUS_VERSION=1.0",
        "glassity/focus-mcp:latest"
      ]
    }
  }
}

For S3 data with AWS credentials:

hljs language-json

{
  "mcpServers": {
    "focus": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e", "FOCUS_DATA_LOCATION=s3://your-bucket/focus-exports",
        "-e", "AWS_REGION=us-west-2",
        "-e", "AWS_ACCESS_KEY_ID=your-access-key",
        "-e", "AWS_SECRET_ACCESS_KEY=your-secret-key",
        "glassity/focus-mcp:latest"
      ]
    }
  }
}

For S3 data with AWS profile:

hljs language-json

{
  "mcpServers": {
    "focus": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v", "/Users/YOUR_USERNAME/.aws:/home/mcp/.aws:ro",
        "-e", "FOCUS_DATA_LOCATION=s3://your-bucket/focus-exports",
        "-e", "AWS_REGION=us-west-2",
        "-e", "AWS_PROFILE=billing-reader",
        "glassity/focus-mcp:latest"
      ]
    }
  }
}

3. Test the Connection

Start Claude Desktop and try:

hljs language-kotlin

Can you show me information about my FOCUS data?

Claude will use the get_data_info tool to inspect your dataset.

4. Usage Examples

hljs language-graphql

# Inspect your data
"Show me what FOCUS data is loaded"

# Use a predefined query
"Run the service costs by region analysis for the last 3 months"

# Custom SQL analysis
"Show me the top 10 most expensive services across all accounts"

# Parameter-based queries
"Analyze commitment discount utilization for 2025-08-01 to 2025-09-01"

# Anomaly detection
"Find accounts with unusual spending patterns this month"

# Cost optimization
"Show me unused capacity reservations that I can optimize"

# Multi-provider analysis
"Compare costs across different cloud providers and regions"

# Schema exploration
"What columns are available in FOCUS v1.2?"
"Explain the difference between BilledCost and EffectiveCost"

Configuration

Environment Variables

Variable	Default	Description
`FOCUS_DATA_LOCATION`	`data/focus-export`	Path to FOCUS data (local or S3 URI)
`FOCUS_VERSION`	`1.0`	FOCUS specification version (1.0, 1.1, 1.2)
`AWS_REGION`	`us-east-1`	AWS region for S3 access
`AWS_PROFILE`	(optional)	AWS profile name to use for S3 authentication

S3 Configuration Example

hljs language-json

{
  "mcpServers": {
    "focus": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/focus-mcp", "python", "focus_mcp_server.py"],
      "env": {
        "FOCUS_DATA_LOCATION": "s3://my-billing-bucket/focus-exports",
        "AWS_REGION": "us-west-2",
        "AWS_PROFILE": "billing-reader"
      }
    }
  }
}

The AWS credential chain automatically finds credentials from:

IAM roles (when running on AWS infrastructure)
Environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)
AWS CLI profiles (set AWS_PROFILE env var to specify which profile)
AWS credentials file (~/.aws/credentials)

Note: AWS_PROFILE is a standard AWS environment variable that the credential chain respects.

Development

For developers who want to contribute or customize the server:

Installation from Source

hljs language-bash

# Clone the repository
git clone https://github.com/glassity/focus-mcp.git
cd focus-mcp

# Install with uv (recommended)
uv sync

# Or install with pip
pip install -e .

# Install with dev dependencies for development
uv sync --extra dev

Running Locally with uv

hljs language-bash

# Set your data location
export FOCUS_DATA_LOCATION="data/focus-export"

# Run the server
uv run python focus_mcp_server.py

Configure Claude Desktop with Local Installation

Add to your Claude Desktop claude_desktop_config.json:

hljs language-json

{
  "mcpServers": {
    "focus": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/focus-mcp",
        "python",
        "focus_mcp_server.py"
      ],
      "env": {
        "FOCUS_DATA_LOCATION": "/path/to/your/focus/data",
        "FOCUS_VERSION": "1.0"
      }
    }
  }
}

Building Your Own Docker Image

hljs language-bash

# Build the image
docker build -t focus-mcp:custom .

# Run your custom image
docker run -i --rm \
  -v "/path/to/your/focus/data:/data:ro" \
  -e FOCUS_DATA_LOCATION=/data \
  focus-mcp:custom

Running Docker Directly (for testing)

Local FOCUS Data

hljs language-bash

docker run -i --rm \
  -v "/path/to/your/focus/data:/data:ro" \
  -e FOCUS_DATA_LOCATION=/data \
  -e FOCUS_VERSION=1.0 \
  glassity/focus-mcp:latest

S3 FOCUS Data

Using AWS credentials from environment:

hljs language-bash

docker run -i --rm \
  -e FOCUS_DATA_LOCATION="s3://your-bucket/focus-exports" \
  -e AWS_REGION="us-west-2" \
  -e AWS_ACCESS_KEY_ID="your-access-key" \
  -e AWS_SECRET_ACCESS_KEY="your-secret-key" \
  glassity/focus-mcp:latest

Using AWS profile:

hljs language-bash

docker run -i --rm \
  -v "$HOME/.aws:/home/mcp/.aws:ro" \
  -e FOCUS_DATA_LOCATION="s3://your-bucket/focus-exports" \
  -e AWS_REGION="us-west-2" \
  -e AWS_PROFILE="billing-reader" \
  glassity/focus-mcp:latest

Todo

Implement automated query synchronization from FOCUS specification
Extract column definitions and attributes from FOCUS spec for enhanced data insights
Enhance response formatting with citations and educational context for AI models
Validate all use cases queries against v1.1 and v1.2 exports
Evaluate if moving attributes/columns to MCP resources makes more sense
Review conformance gap documents for additional documentation and insights to share in the responses

focus-mcp

FOCUS MCP Server

What is FOCUS?

What This Server Does

Features

MCP Tools Available

Query Library

Quick Start

1. Prepare Your FOCUS Data

Local Data

S3 Data

2. Install & Configure with Docker (Recommended)

Pull the Docker Image

Configure Claude Desktop

3. Test the Connection

4. Usage Examples

Configuration

Environment Variables

S3 Configuration Example

Development

Installation from Source

Running Locally with uv

Configure Claude Desktop with Local Installation

Building Your Own Docker Image

Running Docker Directly (for testing)

Local FOCUS Data

S3 FOCUS Data

Todo

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