MCP Server: io.applayer/tango
The io.applayer/tango Model Context Protocol (MCP) server provides a shared task queue intended for both humans and AI agents. It focuses on task lifecycle features including leases, handoffs, approvals, and signed receipts, as described in its repository metadata.
🛠️ Key Features
- Shared task queue
- Leases
- Handoffs
- Approvals
- Signed receipts
🚀 Use Cases
- Managing shared tasks between human operators and AI agents
- Coordinating task handoffs across participants
- Recording approvals and generating signed receipts for task actions
⚡ Developer Benefits
- Clear task ownership and duration via leases
- Structured handoff flow for multi-agent or human+agent workflows
- Audit-friendly outputs through signed receipts
⚠️ Limitations
- Only the high-level task-queue capabilities (leases, handoffs, approvals, signed receipts) are described; no tool count, topics, or additional functionality details are provided.