Security Consideration: Add Vedis Security Layer for MCP

I've been building AI agents with MCP and noticed a common security gap - prompt injection attacks and secret leakage.

I built **Vedis** to address this - it's a security layer for MCP agents that:

✅ **Detects prompt injection attempts** - Blocks malicious prompts before they reach your agent
✅ **Blocks PII** - Emails, phone numbers, SSNs, credit cards
✅ **Filters secrets** - AWS keys, GitHub tokens, Stripe keys, JWTs, PEM certificates
✅ **Enforces tool policies** - Control what tools your agents can access

### How it works
One config change, zero code changes:

```yaml
vedis:
enabled: true
block_pii: true
block_secrets: true
max_tokens: 1000
```

### Why this matters for Google MCP
As Google's MCP implementation, security is critical. Vedis can help protect users from:
- Prompt injection attacks in MCP interactions
- Accidental secret leakage in responses
- PII exposure in agent outputs

### Available at
https://vedis-4nexxwa4vq-as.a.run.app

### Pricing
- Free: Basic protection
- $49/mo: Starter (up to 10 agents)
- $199/mo: Pro (unlimited agents)

Would you be interested in integrating Vedis as an optional security layer? I'd be happy to contribute or provide more details.

Thanks!