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AgentGate

Official

by agentkitai Β· TypeScript

Human-in-the-loop approval gateway for AI agents over MCP: request, decide, approve.

AgentGate MCP Server: Human-in-the-loop approval gateway

AgentGate is a human-in-the-loop approval system for AI agents over the Model Context Protocol (MCP). Agents request actions, policies decide, and humans approve. The server is intended to keep humans in control of what AI agents can do.

πŸ› οΈ Key Features

  • Human-in-the-loop approval workflow for AI agents
  • Request β†’ decide (policies) β†’ approve execution model
  • MCP-based integration for agent action gating
  • Named as an approval system in its description

πŸš€ Use Cases

  • Approving AI agent actions before execution
  • Enforcing AI safety by requiring human approval
  • Implementing approval workflows for MCP-connected agents

⚑ Developer Benefits

  • Clear separation between agent requests, policy decisions, and human approvals
  • Developer-facing implementation aligned with stated tech topics: MCP and TypeScript

⚠️ Limitations

  • Only the approval workflow is described; no additional capabilities or supported tools are provided in the available data.

πŸ“Œ Topics

  • ai-agents, ai-safety, approval-workflow, hono, human-in-the-loop, mcp, model-context-protocol, react, typescript

Topics

ai-agentsai-safetyapproval-workflowhonohuman-in-the-loopmcpmodel-context-protocolreacttypescript

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