DefectDojo MCP server provides a bridge to the DefectDojo vulnerability management system, enabling AI assistants to interact with security findings, products, and engagements. Developed by jamiesonio, this implementation offers tools for retrieving, searching, and updating vulnerability data through an asynchronous HTTP client that handles authentication and error management. The server exposes specialized functions for managing security findings (including status updates and note addition), listing products, and handling engagement lifecycle operations. Built with Python 3.12 and the FastMCP framework, it's particularly valuable for security teams who want to integrate vulnerability management workflows into their AI assistant interactions.
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Highlight AIRetrieve findings with filtering (product_name, status, severity) and pagination (limit, offset).
Search findings using a text query, with filtering and pagination.
Change the status of a specific finding (e.g., Active, Verified, False Positive).
Add a textual note to a finding.
Create a new finding associated with a test.
List products with filtering (name, prod_type) and pagination.
List engagements with filtering (product_id, status, name) and pagination.
Get details for a specific engagement by its ID.
Create a new engagement for a product.
Modify details of an existing engagement.
Mark an engagement as completed.
