Platform Pillar
MCP Governance
AI agents and coding assistants increasingly connect to Model Context Protocol (MCP) servers to read code, call APIs, and take action in production systems. MCP governance is the discipline of controlling who and what can invoke those tools, under what conditions, with a full record of what happened.
How Squidward governs MCP
MCP Entitlement
Define exactly which MCPs and tools each user, role, or team can invoke. Entitlements are enforced at the gateway, not left to client-side trust.
Policy Engine
Declarative allow, deny, redact, quarantine, and require-approval rules evaluated against identity, tool, parameters, and context on every call.
Audit Logging
A tamper-evident, queryable record of every MCP call and policy decision, ready for security review and compliance reporting.
Data Loss Prevention
Scan tool inputs and outputs for secrets, credentials, and sensitive data before they cross the gateway boundary.
Why it matters
Without governance, an AI coding assistant with an ungoverned MCP connection can read private repositories, merge code, or query a production database with the same trust as a human engineer — but without the audit trail, approval workflow, or least-privilege scoping enterprises require. Squidward closes that gap by putting a policy-checked gateway in front of every MCP call.
See governance in action
Read the policy engine documentation or explore integrations.