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Let AI agents request human approvals with forms, webhooks, and team workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "gotoHuman MCP Server" yet — see the docs or source repo.
Before deploying to production, use gotoHuman to create an approval form with the version number, change summary, rollback plan, and risk level, then send the approval link to the on-call owner; continue deployment only after approval is granted.
A human approval workflow is created with form fields, an approval link, notification targets, and continuation after approval.
When an AI agent is about to delete customer data or change permissions in bulk, call gotoHuman to request human confirmation, showing affected objects, reason, and expected impact in the form, then return the result to the system via webhook.
A confirmation workflow with approval status is returned, and the human decision is synced to downstream automation via webhook.
Create a multi-step approval flow for a change involving product, engineering, and operations: first the product manager confirms the request, then the engineering lead approves the implementation plan, and finally operations confirms the release window, recording comments at each step.
A staged team approval workflow is generated with role assignments, approval order, and recorded feedback from each approver.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Coordinate AI agent teams with shared memory, kanban workflows, and live oversight.
Route AI responses by confidence and delegate generation to local models.
Answer questions from documents with multi-agent RAG and human approval.
Build AI agent workflows and automate tasks using MCP-connected services.
Manage Jira, Confluence, Git insights, and diagrams through one local MCP server.