An MCP server that implements a multi-stage employee access request and approval workflow, enabling employees to request system access and managers/IT admins to approve or reject requests through an interactive UI.
An MCP server that acts as a gatekeeper for database and configuration changes, requiring proposals, dry-run simulations, and confirmation tokens before applying any modifications.
Centralized MCP server for spec-driven AI agent workflows, enabling isolated feature management, task tracking, and implementation with handoff and archiving capabilities across multiple projects and developers.
MCP server that synthesizes user feedback from multiple sources into actionable insights. Aggregates reviews, support tickets, and survey responses to identify patterns and priorities.
A governed MCP server for integrating AI agents with customer data, featuring role-based access control, field redaction, and human-in-the-loop approval for secure support operations.
