Enables AI clients to read structured project context and propose task changes that require explicit human approval, with scoped permissions, idempotency, and a full audit trail.
Enables secure, stateful AI agents and LLM tools to access enterprise databases, knowledge bases, live system metrics, and sandboxed code execution through the Model Context Protocol, with authentication, rate limiting, and safety guards.
Enables governed, audit-traced AI access to a curated knowledge base through the Model Context Protocol, with OAuth 2.1 authentication and policy enforcement for secure, compliant queries.
Enables AI clients to securely inspect and edit approved code, use semantic code intelligence, run builds/tests, supervise bounded processes, inspect Git, and execute owner-approved SSH commands on engineering workstations.
Enables AI agents to discover governed capabilities, inspect machine-readable contracts, and request policy-checked procurements with signed receipts and audit trails.