An MCP server that enables AI agents to safely query and act on school data (attendance, fees, student records) with strict role-based access control and a two-step write approval flow.
Enables controlled AI-agent access to enterprise-shaped tools with a deny-by-default gated write path, human approval, dry-run execution, and append-only audit logging.
Single source of truth and control for agent-operated companies, managing business state with deterministic policy enforcement, seat identity, and hash-chained audit trail.
A governed AI agent platform that exposes GitHub Issues, Jira, and Slack as MCP servers, with mandatory human-in-the-loop approval for all write operations and full audit logging to PostgreSQL using PGVector semantic search.
AI-native compliance auditing engine for enterprise LMS, enabling querying compliance status, running audits, and validating assignment rules through natural language with MCP clients like Claude or Cursor.
A production-grade, LLM-agnostic MCP server that integrates AI models with tools for managing subscriptions, organizations, and payments via the Updation API. It features Redis-backed conversation memory, structured logging, and role-based access control for secure, scalable orchestration.