FinOps MCP Resources

v1.0.0Cloud Servicesstable

AI for FinOps: Curated collection of MCP servers and resources for Cloud FinOps practitioners

ai-agentscloudcloud-cost-efficiencycloud-cost-intelligencecloud-financial-management
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What is FinOps MCP Resources?

FinOps MCP Resources is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ai for finops: curated collection of mcp servers and resources for cloud finops practitioners

AI for FinOps: Curated collection of MCP servers and resources for Cloud FinOps practitioners

This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • AI for FinOps: Curated collection of MCP servers and resourc

Use Cases

Cloud cost optimization
Cloud financial management for FinOps
OptimNow

Maintainer

LicenseNOASSERTION
Languagetypescript
Versionv1.0.0
UpdatedMay 18, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx finops-mcp-resources

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use FinOps MCP Resources

FinOps MCP Resources is a curated open-source hub for Cloud FinOps practitioners who want to use AI agents to automate cloud cost management. It documents 18 MCP servers for AWS, Azure, GCP, and FinOps-adjacent tools like JIRA and Slack, provides 7 step-by-step tutorials for real cost analysis workflows, compares 9 MCP clients, and includes governance and security guidance for enterprise deployments. Rather than being an installable server itself, it is a comprehensive reference and tutorial library that accelerates teams getting started with AI-driven FinOps using the Model Context Protocol.

Prerequisites

  • An MCP-compatible AI client (Claude Desktop, Cursor, GitHub Copilot, or similar)
  • Cloud provider credentials for the platforms you want to analyze (AWS, Azure, or GCP)
  • Access to cloud cost data services such as AWS Cost Explorer, Azure Cost Management, or GCP Billing Export
  • Git to clone the repository and access the tutorial files
1

Clone the repository

Clone the OptimNow/finops-mcp-resources repository to get access to all tutorials, server docs, client comparisons, and governance guides.

git clone https://github.com/OptimNow/finops-mcp-resources.git
cd finops-mcp-resources
2

Choose and set up an MCP client

Review the client comparison guide at clients/comparison.md to pick the right MCP client for your team. Claude Desktop is the most common choice for individual practitioners.

3

Follow the AWS Pricing quickstart tutorial

Start with the included AWS Pricing quickstart tutorial to query real-time AWS pricing data in under 15 minutes. This uses the community aws-pricing MCP server.

# See: tutorials/01-aws-pricing-quickstart.md
# The tutorial walks through:
# 1. Installing the AWS Pricing MCP server
# 2. Configuring your MCP client
# 3. Querying EC2 pricing by region and instance type
4

Configure your cloud MCP server

Pick the cloud provider MCP server from the servers/ directory that matches your environment. Each server doc includes the exact config block. For AWS, add the AWS MCP server with appropriate IAM credentials.

{
  "mcpServers": {
    "aws-cost": {
      "command": "uvx",
      "args": ["awslabs.cost-analysis-mcp-server@latest"],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1"
      }
    }
  }
}
5

Explore governance and security guidance

Before deploying MCP agents against production cloud accounts, review the security guidance in the governance/ directory, including IAM policy templates and the MCP authentication vulnerabilities guide.

FinOps MCP Resources Examples

Client configuration

Example Claude Desktop configuration for connecting to an AWS cost analysis MCP server as documented in this hub.

{
  "mcpServers": {
    "aws-cost": {
      "command": "uvx",
      "args": ["awslabs.cost-analysis-mcp-server@latest"],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1",
        "FASTMCP_LOG_LEVEL": "ERROR"
      }
    }
  }
}

Prompts to try

Example FinOps prompts you can ask once a cloud MCP server is configured.

- "Show me my AWS spend for the last 30 days broken down by service"
- "Which EC2 instances are running but have had less than 5% CPU utilization for the past 2 weeks?"
- "Compare our cloud costs this month versus the same month last year across all AWS accounts"
- "List all resources in us-east-1 that are missing the 'CostCenter' tag"
- "What would our monthly cost be if we moved these 10 EC2 instances from On-Demand to Reserved pricing?"
- "Create a JIRA ticket for any resource that has been idle for over 30 days"

Troubleshooting FinOps MCP Resources

AWS credentials errors when querying Cost Explorer

Make sure your AWS profile has the ce:GetCostAndUsage and related Cost Explorer IAM permissions. The governance/directory includes sample IAM policy templates. Also verify AWS_PROFILE and AWS_REGION are set correctly in the env block.

MCP server times out or returns no data for large cost queries

Large date ranges or multi-account queries can take time. Narrow your query to a specific service or shorter time range first. For multi-account queries, ensure your IAM role has cross-account access or use AWS Organizations Cost Explorer.

Unsure which of the 18 documented servers to start with

Start with the AWS Pricing quickstart (tutorials/01-aws-pricing-quickstart.md) — it requires no special IAM permissions and queries the public AWS pricing API. From there, follow tutorials 02-07 in order to progressively add Cost Explorer, tagging, and multi-cloud support.

Frequently Asked Questions about FinOps MCP Resources

What is FinOps MCP Resources?

FinOps MCP Resources is a Model Context Protocol (MCP) server that ai for finops: curated collection of mcp servers and resources for cloud finops practitioners It connects AI assistants to external tools and data sources through a standardized interface.

How do I install FinOps MCP Resources?

Follow the installation instructions on the FinOps MCP Resources GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with FinOps MCP Resources?

FinOps MCP Resources works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is FinOps MCP Resources free to use?

Yes, FinOps MCP Resources is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.

Browse More Cloud Services MCP Servers

Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "finops-mcp-resources": { "command": "npx", "args": ["-y", "finops-mcp-resources"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use FinOps MCP Resources?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

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