Zeropath
The Zeropath MCP server acts as a specialized bridge between AI assistants and a vulnerability management platform. In simple terms, it allows an AI sidekick to look at a project's security status and help identify potential weaknesses in the code. By connecting these two worlds, developers can use natural language …
About this Protocol
Use Cases
Use Case 1: Real-Time Vulnerability Triaging for Developers
Problem: Developers often have to context-switch between their IDE and a separate security dashboard to check for new vulnerabilities identified in their code repositories, leading to delays in remediation.
Solution: This MCP allows a developer to ask their AI assistant (like Claude Desktop) to fetch the latest vulnerability reports directly from Zeropath. The AI can summarize the findings, explain the risks, and pinpoint which files or dependencies are affected without the user leaving their coding environment.
Example: A developer asks, "Claude, check Zeropath for any new high-severity vulnerabilities in the 'payment-gateway' repository." The AI retrieves the list, identifies an outdated library, and suggests the specific version update needed to patch it.
Use Case 2: Automated Security Health Checkups
Problem: Security leads need to maintain a pulse on the organization's security posture but may find it tedious to manually generate status reports every morning or before a sprint planning meeting.
Solution: By connecting Zeropath to an AI agent via MCP, the lead can request a high-level executive summary of all open vulnerabilities. The AI can categorize them by severity, track trends over time, and highlight the most critical "blockers" that need immediate attention.
Example: A manager asks, "Give me a summary of our current security posture based on Zeropath data. Which three issues should we prioritize in this week's sprint?" The AI analyzes the API data and identifies the three vulnerabilities with the highest exploitability scores.
Use Case 3: Intelligent Remediation Guidance
Problem: Identifying a vulnerability is only half the battle; developers often spend significant time researching how to fix a specific CVE (Common Vulnerabilities and Exposures) or configuration error.
Solution: Since the AI assistant has access to the Zeropath API and its own internal knowledge base, it can fetch the specific vulnerability details and then provide tailored code snippets or configuration changes to fix the issue.
Example: After the MCP identifies a SQL injection vulnerability in a specific endpoint, the user asks, "How do I fix this Zeropath finding in my Node.js Express app?" The AI provides a code example using parameterized queries to resolve the specific flaw identified by the tool.
Use Case 4: Pre-Release Security Audit
Problem: Before merging a major pull request or deploying to production, teams need to ensure no new vulnerabilities have been introduced, but manual checks are often skipped to save time.
Solution: Teams can use the AI assistant to perform a final "sanity check" by querying Zeropath for any unresolved issues associated with the branch or project. This integrates security verification into the natural language workflow of the development process.
Example: A DevOps engineer asks, "Are there any open critical or high vulnerabilities in Zeropath for the production environment before I trigger the deployment?" The AI confirms the status, allowing for a confident "Go" or a necessary "Stop."