Detectify launches MCP server for AI coding

Published by The Daily Scout

What happened

- Detectify launched its MCP Server on May 26, giving AI coding assistants direct access to the company’s security testing engines and findings. - Detectify said the remote-hosted server works with Claude Code, Cursor, ChatGPT and Claude Desktop, and supports “Find & Fix” remediation workflows. - Detectify directs users to sign up through its website, where the company is offering product walkthroughs and access details.

Why it matters

Detectify said on May 26 that it had launched an MCP Server designed to connect its application security testing tools to AI coding assistants used by developers and AppSec teams. The Swedish company said the product is a remote-hosted integration layer that lets AI agents pull in Detectify findings, trigger validation scans and work with live security data inside development workflows. Detectify named Claude Code, Cursor, ChatGPT and Claude Desktop among the tools it supports. The company described the release as part of a push to give AI assistants access to security context during software development rather than after code has already moved downstream. ### What exactly did Detectify launch? Detectify called the product the Detectify MCP Server, using the Model Context Protocol standard to expose its security testing capabilities to AI tools. The company said the server gives AI agents standardized access to findings and capabilities so they can query results and act on real-time security data inside development and security workflows. (blog.detectify.com) Business Wire and Detectify’s newsroom said the server is meant to help coding agents find and validate exploitable vulnerabilities and interpret attack-surface data. Detectify said the product is remotely hosted, which means customers do not need to deploy or maintain a separate server to use it. (blog.detectify.com) ### How is this supposed to work inside an AI coding workflow? Detectify said one feature is “Find & Fix” automation, in which AI agents can receive remediation tasks, generate patches, trigger Detectify validation scans and present verified fixes for human review. The company also said the server supports conversational use, allowing developers to ask an assistant about security findings and receive structured responses tied to Detectify data. (businesswire.com) The Detectify blog said the goal is to deliver real-time vulnerability data and attack-surface insights directly into AI-powered workflows. BetaNews, citing the launch, said the system is aimed at bringing code-level security checks and contextual alerts into AI-assisted coding environments. (businesswire.com) ### Why is Detectify framing this around AI agents, not just developers? Rickard Carlsson, Detectify’s chief executive, said in launch materials that AI-assisted development can remove common coding mistakes but also increases the amount of software, services, APIs and infrastructure that organizations must secure. Detectify said the MCP Server is intended to close that gap by giving AI agents deterministic access to security findings and validation tools during autonomous development work. (blog.detectify.com) Detectify’s blog said the release is “the beginning of a broader shift towards security tools designed for both humans and autonomous agents.” That framing places the product in a growing market for tooling that can feed structured security signals into AI systems rather than relying only on later-stage scans or runtime defenses. (businesswire.com) ### Which tools and teams is Detectify targeting first? Detectify said the initial audience is developers and application security teams already using AI assistants in coding and review workflows. The company specifically listed Claude Code, Cursor, ChatGPT and Claude Desktop as supported environments in its product post. (blog.detectify.com) Detectify’s website is promoting sign-ups for the MCP Server alongside a product walkthrough. The company’s documentation site separately lists existing integrations with tools such as Jira, Slack and CI/CD systems, providing context for how the MCP Server could sit alongside its broader application security platform. ### What happens next for the product? Detectify said access is available through sign-up on its website, where it is also offering a short walkthrough of the MCP Server. (blog.detectify.com) The company has not, in the materials reviewed, published pricing in the launch announcement, but its product pages and newsroom posts indicate the next step is customer onboarding through Detectify’s hosted service. (detectify.com)

Key numbers

  • Detectify launched its MCP Server on May 26, giving AI coding assistants direct access to the company’s security testing engines and findings.
  • Detectify said on May 26 that it had launched an MCP Server designed to connect its application security testing tools to AI coding assistants used by developers and AppSec teams.

What happens next

  • Detectify said on May 26 that it had launched an MCP Server designed to connect its application security testing tools to AI coding assistants used by developers and AppSec teams.
  • BetaNews, citing the launch, said the system is aimed at bringing code-level security checks and contextual alerts into AI-assisted coding environments.
  • Rickard Carlsson, Detectify’s chief executive, said in launch materials that AI-assisted development can remove common coding mistakes but also increases the amount of software, services, APIs and infrastructure that organizations must secure.

Quick answers

What happened in Detectify launches MCP server for AI coding?

Detectify launched its MCP Server on May 26, giving AI coding assistants direct access to the company’s security testing engines and findings. Detectify said the remote-hosted server works with Claude Code, Cursor, ChatGPT and Claude Desktop, and supports “Find & Fix” remediation workflows. Detectify directs users to sign up through its website, where the company is offering product walkthroughs and access details.

Why does Detectify launches MCP server for AI coding matter?

Detectify said on May 26 that it had launched an MCP Server designed to connect its application security testing tools to AI coding assistants used by developers and AppSec teams. The Swedish company said the product is a remote-hosted integration layer that lets AI agents pull in Detectify findings, trigger validation scans and work with live security data inside development workflows. Detectify named Claude Code, Cursor, ChatGPT and Claude Desktop among the tools it supports. The company described the release as part of a push to give AI assistants access to security context during software development rather than after code has already moved downstream. What exactly did Detectify launch? Detectify called the product the Detectify MCP Server, using the Model Context Protocol standard to expose its security testing capabilities to AI tools. The company said the server gives AI agents standardized access to findings and capabilities so they can query results and act on real-time security data inside development and security workflows. (blog.detectify.com) Business Wire and Detectify’s newsroom said the server is meant to help coding agents find and validate exploitable vulnerabilities and interpret attack-surface data. Detectify said the product is remotely hosted, which means customers do not need to deploy or maintain a separate server to use it. (blog.detectify.com) How is this supposed to work inside an AI coding workflow? Detectify said one feature is “Find & Fix” automation, in which AI agents can receive remediation tasks, generate patches, trigger Detectify validation scans and present verified fixes for human review. The company also said the server supports conversational use, allowing developers to ask an assistant about security findings and receive structured responses tied to Detectify data. (businesswire.com) The Detectify blog said the goal is to deliver real-time vulnerability data and attack-surface insights directly into AI-powered workflows. BetaNews, citing the launch, said the system is aimed at bringing code-level security checks and contextual alerts into AI-assisted coding environments. (businesswire.com) Why is Detectify framing this around AI agents, not just developers? Rickard Carlsson, Detectify’s chief executive, said in launch materials that AI-assisted development can remove common coding mistakes but also increases the amount of software, services, APIs and infrastructure that organizations must secure. Detectify said the MCP Server is intended to close that gap by giving AI agents deterministic access to security findings and validation tools during autonomous development work. (blog.detectify.com) Detectify’s blog said the release is “the beginning of a broader shift towards security tools designed for both humans and autonomous agents.” That framing places the product in a growing market for tooling that can feed structured security signals into AI systems rather than relying only on later-stage scans or runtime defenses. (businesswire.com) Which tools and teams is Detectify targeting first? Detectify said the initial audience is developers and application security teams already using AI assistants in coding and review workflows. The company specifically listed Claude Code, Cursor, ChatGPT and Claude Desktop as supported environments in its product post. (blog.detectify.com) Detectify’s website is promoting sign-ups for the MCP Server alongside a product walkthrough. The company’s documentation site separately lists existing integrations with tools such as Jira, Slack and CI/CD systems, providing context for how the MCP Server could sit alongside its broader application security platform. What happens next for the product? Detectify said access is available through sign-up on its website, where it is also offering a short walkthrough of the MCP Server. (blog.detectify.com) The company has not, in the materials reviewed, published pricing in the launch announcement, but its product pages and newsroom posts indicate the next step is customer onboarding through Detectify’s hosted service. (detectify.com)

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