Secure AI Infrastructure

Make AI safe to connect to real systems

Security gateway for MCP servers — secures databases, APIs, filesystems, cloud platforms, and DevOps tools with deterministic policy enforcement.

Read DocsQuickstart
Policydefault: deny
✓ ALLOWEDpostgres: SELECT * FROM analytics
✗ BLOCKEDfs.read: ~/.ssh/id_rsa
✓ ALLOWEDrest: GET /api/public/status
SystemsDatabases · APIs · Files · Cloud · DevOps

WORKS WITH

All AI agents that support the Model Context Protocol

Claude·ChatGPT·Gemini·Any MCP-compatible AI

Secure Every System Your AI Touches

MCPShield protects all real systems through secure adapters — not limited to databases and APIs

Databases
PostgreSQL, MySQL, MongoDB
APIs
REST, GraphQL, Webhooks
File Systems
Local, Network, S3
Cloud
AWS, Azure, GCP
DevOps
GitHub, GitLab, CI/CD
Internal Tools
Custom services

New systems are added via adapters — extend MCPShield to any resource your AI needs

Built for Security-First Teams

Default Deny

Every operation starts blocked. You explicitly allow what you trust.

Deterministic Policies

Same inputs always produce the same result. No ambiguity, no surprises.

Comprehensive Auditing

Every allowed and blocked request is logged. Full visibility into AI behavior.

Zero Trust Architecture

Never trust, always verify. Validate every request against your policy.

Universal System Support

Databases, APIs, cloud platforms, filesystems, DevOps tools, and internal services — all secured with unified policies.

Claude Code Integration

Drop-in replacement for stdio MCP servers. Works seamlessly with Claude.

Live Simulation

See policy enforcement across multiple systems (simulated)

Database security with query validation

policy.yaml
# policy.yaml
default: deny
allow:
  - pattern: "SELECT .* FROM orders_summary.*"
  - pattern: "SELECT .* FROM analytics.*"
deny:
  - keywords: ["DROP", "DELETE", "TRUNCATE"]
max_rows: 100
redact:
  - email
  - phone

Claude Code

MCP Tool Call

MCPShield

This is a frontend simulation. No actual system connections are made.

How It Works

Three simple steps to secure AI access

Step 1

Define Your Policy

Write a simple YAML or JSON policy file defining what operations are allowed across all your systems.

# policy.yaml
default: deny
allow:
  - pattern: "SELECT .* FROM analytics.*"
  - pattern: "GET /api/public/.*"
  - path: "./reports/.*"
deny:
  - keywords: ["DELETE", "DROP"]
  - path: ".*/.ssh/.*"
Step 2

Run MCPShield Gateway

Point your AI tool at MCPShield. Works with any adapter — databases, APIs, filesystems, cloud, and more.

mcpshield gateway \
  --policy policy.yaml \
  --adapter postgres \
  --adapter rest-api \
  --adapter filesystem \
  --audit audit.log
Step 3

Monitor & Audit

Review allowed and blocked operations across all systems. Full visibility into AI behavior.

# audit.log
[ALLOWED] postgres.query: SELECT * FROM analytics
[BLOCKED] postgres.query: DROP TABLE users
[ALLOWED] rest.request: GET /api/public/status
[BLOCKED] fs.read: ~/.ssh/id_rsa

Security Principles

Deterministic

Same input always produces same output. No LLM interpretation in the policy layer.

→ Predictable behavior

Auditable

Every request is logged with timestamp, operation, and decision.

→ Full visibility

Default Deny

Nothing is allowed unless explicitly permitted in your policy.

→ Safe by default

Ready to secure every system your AI touches?

Protect databases, APIs, filesystems, cloud platforms, and more with deterministic policy enforcement.

Get StartedLearn More