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Stream real-time agent plans, progress, tool calls, and results locally.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "workspace-agent-relay-mcp" yet — see the docs or source repo.
Use workspace-agent-relay-mcp to connect to my local dashboard and stream the current Workspace Agent's plan, execution progress, tool call logs, and final results to my machine in real time so I can monitor and debug.
A local dashboard continuously shows the agent plan, step progress, tool call details, and execution results.
Use workspace-agent-relay-mcp to stream the agent execution logs in real time, focusing on each tool call's input, output, errors, and retry status to help me identify the failure cause.
An observable real-time log stream highlights failed steps, error messages, and retry behavior.
Use workspace-agent-relay-mcp to sync the agent's task plan, current status, and key results to a local display panel so I can demo live execution progress during a review meeting.
A presentation-friendly local status panel updates task progress and key outputs in real time.
Reliably relay jobs between agents and wake Claude when work completes.
Run a persistent local MCP relay with caching and hot server refresh.
Monitor multi-agent workflows with live calls, sessions, and usage observability.
Run code, shell commands, and file tasks in a secure sandbox.
Access and orchestrate a unified catalog of API tools via MCP.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.