Several MCP servers the CSA uses, collected into a single repo for ease of use
MCP.Pizza Chef: MCP-Mirror
The CloudSecurityAlliance_csa-mcp-servers repository is a consolidated collection of MCP servers maintained by the Cloud Security Alliance (CSA). These servers facilitate the integration of structured, real-time security context into LLMs, enabling enhanced security workflows and automated risk management. By centralizing multiple MCP servers in one repository, CSA simplifies deployment and usage for developers aiming to embed security insights and controls within AI-driven applications. This resource supports secure, scoped, and observable interactions between models and security data sources, promoting robust cloud security practices.
Use This MCP server To
Integrate real-time security context into AI workflows Automate cloud security risk assessments Enhance LLMs with structured security data Centralize multiple MCP security servers for ease of use Enable secure and observable model interactions Support compliance monitoring via AI agents
README
CloudSecurityAlliance_csa-mcp-servers FAQ
How do I deploy the CSA MCP servers?
Clone the repository from GitHub and follow the included setup instructions to deploy the servers locally or in your cloud environment.
Can these MCP servers be used with any LLM provider?
Yes, they are provider-agnostic and can integrate with models like OpenAI, Anthropic Claude, and Google Gemini.
Are the CSA MCP servers secure to use in production?
Yes, they are designed with security best practices to ensure scoped and observable interactions, suitable for production environments.
How do I update the MCP servers to the latest version?
Pull the latest changes from the GitHub repository and redeploy the servers following the update guidelines.
What kind of security data do these MCP servers expose?
They provide structured security context such as compliance status, risk metrics, and cloud security posture information.
Is there documentation available for integrating these servers with my AI application?
Yes, the GitHub repository includes documentation and examples for integration and usage.
Can I customize the MCP servers for my specific security needs?
Yes, the servers are open source and can be extended or modified to fit custom security workflows.
Do these servers support real-time updates of security context?
Yes, they are designed to provide real-time or near-real-time security data to connected LLMs.