Application security platform company Detectify AB today launched the Detectify MCP Server, a new integration layer that plugs the company’s security testing engines into artificial intelligence-driven coding workflows so that agents can find, validate and remediate exploitable vulnerabilities in real time.
Detectify’s MCP Server is built on the Model Context Protocol, the open standard Anthropic PBC released in November 2024 that has since been adopted across the AI industry as the default way for agents to talk to outside tools. The company is pitching the launch at a problem security teams have flagged for months, namely that AI coding agents now ship code faster than human-led review cycles can keep up with.
By exposing its scanning engines through MCP, Detectify is offering agents a standardized way to query findings and trigger validation as part of autonomous development loops rather than waiting for periodic human review. The company argues that AI-assisted coding is simultaneously eliminating some common errors while dramatically expanding the volume of software, application programming interfaces and infrastructure that organizations must track. The problem is compounded by shadow information technology and shadow AI adoption inside enterprises.
The MCP Server ships with two headline capabilities. A “Find & Fix” automation feature hands security findings to AI agents as structured remediation tasks. It allows an agent to generate a patch, trigger a Detectify validation scan to confirm the fix and surface the result for human review. A conversational interface lets users query scan results, monitor asset status and surface high-severity findings through natural-language prompts. The server is remotely hosted, with what Detectify describes as a lightweight configuration for connecting to preferred AI tools.
“We aren’t competing with the AI’s reasoning, we are providing the professional-grade tools that reasoning requires,” said Chief Executive Rickard Carlsson. “By structuring our capabilities as modular, high-performance building blocks, we allow agents to call our scanner as naturally as they call a test runner. We are expanding from a dashboard humans check to a skill agents orchestrate.”
Carlsson framed the broader argument in terms of determinism. Large language models excel at reasoning but operate probabilistically, meaning they don’t produce the same answer to a query each time. Detectify is pitching its compiled scanning engines as the deterministic verification layer agents need before code reaches production. The company monitors millions of changing domains and says the MCP Server is intended to bring that scale into agentic workflows so security can operate at engineering velocity.
The launch comes amid a wave of similar MCP server releases from security vendors over the past year, including Legit Security Ltd., JFrog Ltd. and TrojAI Inc., as application security firms race to make their tooling addressable by autonomous coding agents.
The Detectify MCP Server will be available soon as part of Detectify’s continued investment in AI-native application security.
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