Application security vendor Black Duck has launched its Signal vulnerability scanning engine as an MCP server in the Claude Directory, giving developers using Anthropic’s Claude Desktop a way to check code for security flaws without switching tools.
The integration is built on the Model Context Protocol (MCP), the open standard that lets AI assistants like Claude call out to external services and pull structured data back into a conversation. Through it, Black Duck’s Signal Code Analysis engine can scan git diffs, individual files, or whole codebases for vulnerabilities directly from within the Claude environment developers are already using to write and refactor code.
Under the hood, source code submitted for a scan is sent to Black Duck’s cloud-based analysis service for processing. The results then come back as MCP resources, structured data that Claude can read and reason over, allowing it to explain identified risks and suggest remediation steps in plain language rather than simply returning a raw findings report.
The launch reflects a wider shift in how security vendors are approaching AI-assisted coding. As tools like Claude speed up how quickly developers can write and ship software, security teams are under pressure to embed checks earlier in the process rather than relying on scans that happen after code has already been merged. Black Duck is positioning Signal as a way to close that gap by putting vulnerability detection at the point of code generation itself.
Dipto Chakravarty, Chief Product & Technology Officer at Black Duck, framed the move as a response to the pace at which AI coding tools now operate. “security keeps pace with how fast teams are building,” he said of the aim behind bringing Signal into the Claude Directory.
Signal is available now through the Claude Directory listing, with Black Duck directing prospective users to speak to a company representative to get set up. The release follows Black Duck’s broader push into AI-focused application security tooling, part of a growing trend among established AppSec vendors to adapt existing scanning capabilities for workflows increasingly driven by AI coding assistants rather than traditional IDEs.
It also underscores the growing role of MCP as connective tissue between AI assistants and specialist enterprise tools. Since Anthropic opened up the protocol, a steady stream of security, development and productivity vendors have released their own MCP servers, letting Claude act as a front end for capabilities that would otherwise require developers to leave their AI workflow entirely.
