Fluid Attacks MCP Server

Overview

The Fluid Attacks MCP server bridges AI assistants with the Fluidattacks security platform, enabling automated threat intelligence and vulnerability management directly from conversational interfaces. By exposing a rich set of tools that wrap the Fluidattacks API, it eliminates manual data fetching and streamlines security workflows for developers who rely on AI assistants to surface actionable insights.

This server solves the common pain point of having to manually query a security platform’s REST endpoints, parse JSON responses, and translate findings into actionable steps. Instead, developers can issue natural language commands to an AI assistant—such as “list all open vulnerabilities in project X” or “retrieve the latest threat reports for a specific asset”—and receive structured, ready‑to‑use data. The assistant can then feed this information into downstream processes (e.g., automated ticket creation, risk scoring dashboards, or compliance reports) without leaving the conversational context.

Key capabilities of the Fluid Attacks MCP include:

• Comprehensive API coverage: The server implements endpoints for assets, vulnerabilities, threat reports, and remediation tasks, mirroring the full Fluidattacks API surface.
• Authentication management: It handles OAuth‑style tokens securely, allowing the AI client to authenticate without exposing credentials in user prompts.
• Contextual resource handling: Tools can reference specific projects, assets, or vulnerability IDs, ensuring that queries are precise and results are scoped correctly.
• Error handling and retries: Built‑in resilience mechanisms provide robust responses even when the underlying API experiences transient failures.

Typical use cases span from continuous security monitoring to incident response automation. For example, a DevOps engineer can ask the AI assistant to “show all critical vulnerabilities in the staging environment” and receive a formatted list that can be immediately imported into a ticketing system. Security analysts may request “generate a risk summary for the last 30 days” and obtain an executive‑ready report that feeds into quarterly reviews.

Integration with AI workflows is seamless: the MCP server registers its tools via standard MCP discovery mechanisms, allowing any compliant AI client to invoke them as if they were native commands. Because the server abstracts away HTTP details, developers can focus on higher‑level logic—such as correlating vulnerability data with CI/CD pipelines—while the MCP handles data retrieval and formatting.

In summary, the Fluid Attacks MCP server empowers developers to embed deep security intelligence into AI assistants, turning static API calls into dynamic, context‑aware interactions that accelerate threat detection, remediation planning, and compliance reporting.