chaandannn/finopsmcp
by Various
The open-source AI-native FinOps platform. Ask nable about your AWS, Azure, GCP, Kubernetes, and SaaS spend inside Claude or Cursor. Runs on your machine; credentials never leave i
MCP
chaandannn/finopsmcp
Added 13 July 2026
Overview
An open-source FinOps platform that lets you query cloud and SaaS spending across AWS, Azure, GCP, Kubernetes, and other services directly from Claude or Cursor. It runs locally on your machine so credentials never leave your environment.
Best for
Best for
Developers and FinOps practitioners who want to query cloud costs from within their AI coding assistant
Use cases
- Ask natural language questions about cloud cost data inside Claude or Cursor
- Query multi-cloud and Kubernetes spending without leaving your coding assistant
- Audit SaaS expenses across providers from a single local interface
How to use
Install
uvx nable Tools exposed
uvpip
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code
Example client config
{\n "mcpServers": {\n "nable": { "command": "uvx", "args": ["--python", "3.12", "finops-mcp"] }\n }\n} Notes
An open-source FinOps platform that lets you query cloud and SaaS spending across AWS, Azure, GCP, Kubernetes, and other services directly from Claude or Cursor. It runs locally on your machine so credentials never leave your environment.
8 stars on GitHub. Last updated 2026-07-13. Licensed Apache-2.0.
Use cases
- Ask natural language questions about cloud cost data inside Claude or Cursor
- Query multi-cloud and Kubernetes spending without leaving your coding assistant
- Audit SaaS expenses across providers from a single local interface
Pros
- Runs entirely on your machine, keeping credentials secure
- Supports major cloud providers plus Kubernetes and SaaS
- Integrates directly with Claude and Cursor for in-editor queries
Cons
- Requires local setup and Python environment
- Limited to querying data you have already configured access to
- No built-in visualization or reporting beyond text responses
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Runs entirely on your machine, keeping credentials secure
- Supports major cloud providers plus Kubernetes and SaaS
- Integrates directly with Claude and Cursor for in-editor queries
Cons
- Requires local setup and Python environment
- Limited to querying data you have already configured access to
- No built-in visualization or reporting beyond text responses
Pairs with
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