MCP server that gives AI agents controlled access to a building services company's daily operations, including customer records, scheduling, and offer calculations. All write operations are protected by a two-stage approval mechanism with time-limited tokens to prevent unauthorized changes.
An MCP server that enables AI agents to safely interact with a double-entry payments ledger, enforcing idempotency, policy-based access control, and human-in-the-loop approval for high-value actions.
A read/write MCP server that connects AI assistants to the OpenEMIS school management system, allowing natural-language queries and write operations across 678 resources and 3361 endpoints.
This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
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.
