cloudsealed/cloudsealed-mcp
by Various
MCP server exposing CloudSealed's billing-waste anomaly detector and architecture risk scorer as tools for AI agents (Claude Code, Cursor, etc.).
MCP
cloudsealed/cloudsealed-mcp
Added 16 Sept 2026
Overview
MCP server that exposes CloudSealed's billing-waste anomaly detector and architecture risk scorer as tools for AI agents. It integrates with clients like Claude Code and Cursor via the Model Context Protocol, letting agents invoke these analyses directly. Written in Python.
Best for
Best for
Developers using AI agents who want CloudSealed's cost and risk insights in their workflow
Use cases
- Detect cloud billing waste from an AI agent
- Score architecture risk during development
- Expose CloudSealed analysis to Claude Code or Cursor
How to use
Install
uvx cloudsealed-mcp Tools exposed
cloudsealed_analyze_billing_wastecloudsealed_score_architecture_riskcloudsealed_correlate_cost_and_risk
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf
Example client config
{\n "mcpServers": {\n "cloudsealed": {\n "command": "uvx",\n "args": ["cloudsealed-mcp"]\n }\n }\n} Notes
MCP server that exposes CloudSealed’s billing-waste anomaly detector and architecture risk scorer as tools for AI agents. It integrates with clients like Claude Code and Cursor via the Model Context Protocol, letting agents invoke these analyses directly. Written in Python.
0 stars on GitHub. Last updated 2026-08-09. Licensed MIT.
Use cases
- Detect cloud billing waste from an AI agent
- Score architecture risk during development
- Expose CloudSealed analysis to Claude Code or Cursor
Pros
- Standard MCP protocol works across multiple agent clients
- Combines billing-waste detection and architecture risk scoring in one server
- Python-based, easy to run for Python developers
Cons
- No community traction indicated by zero stars
- Scope limited to billing waste and architecture risk
- Requires setup of an MCP client to use
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Standard MCP protocol works across multiple agent clients
- Combines billing-waste detection and architecture risk scoring in one server
- Python-based, easy to run for Python developers
Cons
- No community traction indicated by zero stars
- Scope limited to billing waste and architecture risk
- Requires setup of an MCP client to use
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