Vantex-Security-A
This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
README
Vantex-Security-A
MCP Server Project for AI Safety and Secure Database Access
Vantex Security AI
Problem Statement
AI agents can execute dangerous actions if they are given direct access to sensitive systems such as databases.
For example:
- Deleting records
- Modifying employee information
- Executing unauthorized commands
- Accessing confidential data
Without proper permission checks and approval mechanisms, these actions may cause serious security issues.
Proposed Solution
Instead of allowing the AI Agent to access the database directly, the agent communicates with an MCP Server.
The MCP Server exposes secure tools.
Before executing any tool, the server checks:
- Authentication
- Authorization
- User permissions
- Human approval (if required)
- Logging
- Notifications
Only after passing all checks will the requested action be executed.
Technologies
- Python
- SQLite
- MCP SDK
User │ ▼ AI Agent │ ▼ MCP Server │ ▼ Security Checks │ ▼ Database │ ▼ Response │ ▼ User
Objectives
- Protect sensitive operations.
- Restrict AI permissions.
- Require admin approval for dangerous actions.
- Log every operation.
- Notify administrators when needed.
- Prevent accidental data loss.
database/
↓
mcp_server/
↓
agent/
↓
tests/
↓
docs/
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