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:
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!
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:
Why this matters for Google MCP
As Google's MCP implementation, security is critical. Vedis can help protect users from:
Available at
https://vedis-4nexxwa4vq-as.a.run.app
Pricing
Would you be interested in integrating Vedis as an optional security layer? I'd be happy to contribute or provide more details.
Thanks!