Compatible with every major AI agent and IDE
Create rule on Semgrep
Allows developers to forbid project-specific bad patterns securely and continuously across the enterprise repositories. Create a customized Semgrep security rule within the platform
Delete rule on Semgrep
Delete a custom Semgrep security rule from the deployment
Get finding details on Semgrep
Explains the exact malicious code block, suggests semantic fixes, states whether it is blocking PRs in CI, and links to CVE data (if an SCA supply chain defect). Get atomic details for a specific Semgrep flaw
Get metrics on Semgrep
Typically consumed to render executive security dashboards. Get AppSec metrics and compliance stats for Semgrep
Get project on Semgrep
Search for a precise Semgrep project by exact repository name
List deployments on Semgrep
The primary key is the deployment slug identifier. Almost all subsequent API operations targeting rules, projects, or findings will require this deployment slug to define the scope. List Semgrep organizational deployments
List findings on Semgrep
Findings provide snippet details, file line numbers, severity, and rule types. Fetch global static analysis security findings for a deployment
List projects on Semgrep
Projects maintain a link between developers and static security scan outputs over time. List Semgrep projects (repositories) monitored in a deployment
List rules on Semgrep
The rules are structured YAML definitions that search for semantic anti-patterns in codebases (e.g., unparameterized SQL queries, hardcoded AWS keys). List Semgrep semantic rules deployed globally
Update finding status on Semgrep
Valid states generally include active, fixed, false_positive, ignored, mitigated. Resolving findings through this API cleans up the developer experience when managing compliance queues. Mark a Semgrep finding state (e.g., fixed, false positive)
How Vinkius protects your data
Do I need to supply a 'Deployment Slug' for every request?
Most API queries require the deployment context. To ensure smooth interactions, just tell the agent your organization slug once (or let it query list_deployments to fetch the default one). The agent will remember it for the rest of the conversation loop.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using Semgrep
Add the Semgrep tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
AI Semantic Routing for sast
Use Semgrep to manage sast via conversational interfaces. The integration centralizes access control for fort knox operations performed by ChatGPT.
Intelligent sca Management
The Semgrep toolkit provides secure access to sca functions. It enables conversational agents to manage fort knox settings deterministically.
Semgrep. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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