MCP Cloud Compliance

MCP Cloud Compliance transforms the tedious, manual effort of cloud security auditing into a conversational workflow. By exposing AWS‑centric compliance checks through the Model Context Protocol, it lets AI assistants like Claude ask for up‑to‑date SOC 2, NIST 800‑53, PCI‑DSS, and CIS benchmark reports without pulling raw logs or writing custom scripts. Developers no longer need to juggle separate compliance tools; instead they can simply say, “Show me my SOC 2 status for S3 buckets in us‑west‑2” and receive a structured answer that includes findings, remediation suggestions, and audit trail details.

What the Server Does

• Automated evidence collection – The MCP server queries AWS APIs to gather bucket metadata, access policies, encryption settings, and versioning status.
• Framework‑specific validation – Each bucket is evaluated against the control requirements of SOC 2, CIS, and NIST. The server maps raw AWS attributes to the language used in official compliance documentation.
• Real‑time status reporting – Results are returned instantly, allowing auditors to drill down into non‑compliant resources or confirm that all controls pass.
• Region filtering and resource discovery – Users can list buckets by region, creation date, or tag set, making it easy to focus on production assets or recent deployments.

These capabilities are delivered through MCP resources, tools, and prompts that Claude can invoke directly. The server’s API surface is intentionally lightweight: a single endpoint for listing resources, another for compliance checks, and a third for generating full report artifacts.

Key Features in Plain Language

• Conversation‑first compliance – Ask questions like “Are my S3 buckets PCI‑DSS compliant?” and receive a concise, evidence‑based answer.
• Multi‑framework support – One tool covers SOC 2 Type II, CIS Benchmarks, and NIST Cybersecurity Framework checks.
• Extensible architecture – While the current release focuses on S3, the design allows rapid addition of compute, database, and networking checks.
• Audit‑ready outputs – Reports include control IDs, evidence references, and remediation guidance suitable for formal audit documentation.
• Secure integration – The server uses standard AWS credentials, so no additional secrets are required beyond what developers already manage.

Real‑World Use Cases

Integration with AI Workflows

Developers add the MCP server to Claude’s configuration once, then use the familiar conversational interface. The server exposes tools that Claude can call on demand; each tool corresponds to a specific compliance action (e.g., ). When Claude processes a user query, it automatically selects the relevant tool, passes any parameters (region, framework), and formats the response in natural language. This tight coupling eliminates context switching between CLI commands and audit reports, enabling developers to stay focused on business logic while the MCP server handles security compliance.

Standout Advantages

• Zero‑code interaction – No need to write scripts or use third‑party CLI utilities; the entire audit can be performed through chat.
• Framework‑agnostic mapping – The server abstracts the differences between compliance standards, presenting a unified view that reduces cognitive load.
• Scalable design – Built on Spring Boot and Java 21, the server can be deployed as a container or native executable in any cloud environment.
• Open‑source foundation – MIT licensing encourages community contributions, ensuring the tool stays current with evolving AWS services and compliance frameworks.

In short, MCP Cloud Compliance empowers AI assistants to become first‑class auditors for AWS environments, turning compliance into a conversational, automated process that saves time, reduces errors, and keeps security posture transparent.