Pangea MCP Server

The Pangea MCP Server is a specialized gateway that lets AI assistants tap into the full breadth of Pangea’s security and intelligence services through the Model Context Protocol. Instead of building custom integrations for each Pangea API, developers can expose a single MCP endpoint that bundles authentication, secret retrieval, and service calls into one cohesive interface. This solves the common pain point of managing multiple API keys, handling token rotation, and ensuring auditability when an AI model interacts with sensitive data.

At its core, the server retrieves a master Pangea API token from Vault at runtime and uses that to call any of the supported services—AI Guard, Domain Intel, Embargo, IP Intel, Redact, Secure Audit Log, URL Intel, and Vault itself. By centralizing credential management in Vault, the server eliminates hard‑coded secrets and provides automatic key rotation. It also streams audit logs to Pangea’s tamper‑proof Secure Audit Log, giving developers an immutable record of every request the AI made. This audit trail is invaluable for compliance and forensic analysis.

Key capabilities include:

• Unified authentication: A single token stored in Vault powers all downstream calls, simplifying credential handling.
• Service orchestration: The server can chain multiple Pangea services in a single request, such as redacting sensitive fields before sending data to AI Guard.
• Audit logging: Every interaction is logged with cryptographic integrity, enabling traceability and compliance.
• Runtime configuration: The server reads environment variables for Vault item IDs, audit config IDs, and token scopes, allowing dynamic deployment across environments.

Typical use cases span a range of real‑world scenarios. A customer support AI can query Domain Intel to verify user domains, then pass the result through Redact before feeding it to an LLM, all while every step is logged. An analytics pipeline might use IP Intel and Embargo to filter out sanctioned regions before generating insights. Security teams can employ AI Guard to monitor model outputs for policy violations, with audit logs feeding back into incident response workflows.

Integrating the Pangea MCP Server into an AI workflow is straightforward: developers expose it as a tool in their model’s prompt, and the assistant can call it like any other function. The server returns structured JSON responses that the model can consume directly, keeping the conversation context clean and secure. Its tight coupling with Pangea’s audit and security services gives it a unique advantage—developers get end‑to‑end protection without sacrificing the flexibility that MCP provides.