Compatible with every major AI agent and IDE
Create secret on Infisical
The key must not already exist at that path. Use this to provision new configuration values or credentials. Create a new secret in the Infisical project
Delete secret on Infisical
This action cannot be undone. Use with caution. Delete a secret from the Infisical project
Get project info on Infisical
Get information about the configured Infisical project
Get secret on Infisical
Requires the exact key name as stored in Infisical. Optionally specify a path if the secret is not at the root level. Get a specific secret by its key name
List audit logs on Infisical
Essential for compliance and security monitoring. List recent audit log entries for the project
List environments on Infisical
g., dev, staging, prod) configured for the project. Use this to discover available environments before switching context. List all environments in the configured Infisical project
List identities on Infisical
Useful for auditing automated access. List all machine identities configured in the organization
List secrets on Infisical
Defaults to the root path "/" if no path is provided. Use this to audit what secrets are available or to verify configuration. List all secrets in a given path of the current project and environment
Update secret on Infisical
The key must exist; use create_secret for new entries. Update the value of an existing secret
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Is it safe to manage secrets through an AI agent?
Your credentials are stored encrypted in the Vinkius vault, transmitted only to the Infisical API at runtime. The AI agent never sees raw secret values in its context — only structured operational results.
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 can AI Agents do with Infisical?
Build automated workflows with Cursor and Claude Code by connecting to the Infisical MCP server.
secrets management & AI Execution
The Infisical MCP integration translates natural language prompts into structured secrets management queries. This allows agents to fetch and update developer tools records securely.
Mastering encryption with Agents
The Infisical MCP manages API routing for encryption. This enables AI agents like Claude Code to execute structured developer tools queries.
Infisical. 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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