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.
Retrieve findings with filtering options such as product_name, status, severity, and pagination options like limit and offset.
Search findings using a text query, with options for filtering and pagination.
Change the status of a specific finding, with options for statuses like Active, Verified, or False Positive.
Add a textual note to a finding, requiring the finding ID and the note text.
Create a new finding associated with a test, requiring details such as title, test_id, severity, description, and cwe.
List products with filtering options like name and prod_type, and pagination options.
List engagements with filtering options for product_id, status, and name, along with pagination.
Get details for a specific engagement by its ID.
Create a new engagement for a product, requiring product_id, name, target_start, target_end, and status.
Modify details of an existing engagement, requiring engagement_id and the details to update.
Mark an engagement as completed by providing the engagement ID.
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