Secureframe MCP Server

Secureframe’s MCP server gives AI assistants a read‑only gateway into the company’s compliance automation platform. By exposing data from SOC 2, ISO 27001, CMMC, FedRAMP and other frameworks through a standard Model Context Protocol interface, it allows assistants such as Claude or Cursor to answer questions about controls, tests, vendors and audit scope without requiring direct API calls from the user. This abstraction is valuable for developers who want to embed compliance intelligence into chat‑based workflows, documentation generators or code review tools without handling authentication and rate limits themselves.

The server’s core function is to translate MCP tool calls into Secureframe API requests. Each of the eleven read‑only operations—ranging from to —provides a declarative way for an assistant to query specific slices of compliance data. For example, a developer can ask the assistant to “show all failing SOC 2 controls” and the server will return a concise list, allowing the assistant to surface actionable insights or generate remediation tickets. Because the server never writes data back to Secureframe, it mitigates security risk while still delivering real‑time visibility into audit posture.

Key capabilities include powerful filtering via search queries, pagination support for large datasets, and a unified representation of multiple frameworks. The tool set also covers personnel and device compliance, third‑party risk management vendors, integration status, and code repository scopes. These breadth of data points means developers can build end‑to‑end compliance workflows—such as automatically generating audit summaries, flagging high‑risk vendors in PR reviews, or monitoring device compliance during onboarding—all through a single MCP interface.

Real‑world scenarios abound. A security engineer can ask an assistant to “list all unapproved devices” and immediately receive a list that feeds into an incident response playbook. A compliance officer might use the assistant to pull “top failing tests” and embed the results into a quarterly report. A DevOps team could query repository‑framework scopes to ensure new code lands within the correct audit boundaries before merging. In each case, the MCP server eliminates repetitive API calls and lets teams focus on analysis rather than plumbing.

Integrating the Secureframe MCP server into existing AI workflows is straightforward: configure the server’s executable and environment variables in your preferred MCP client, then invoke any of the read‑only tools as part of a conversation or script. Because it follows the MCP specification, the same server can serve multiple assistants—Claude Desktop, Cursor IDE, or any custom client—without modification. The server’s read‑only nature and clear audit trail also give organizations confidence that sensitive compliance data remains protected while still being accessible to intelligent assistants.