AI Chat MCP Workflows
Connect ChatGPT and Claude to drafting, approvals, scheduling, and publishing workflows.
Connect AI tools to real workflows with Model Context Protocol
Use MCP to Turn AI Into a Real Publishing Workflow
MCP helps AI tools move beyond text generation and into real execution. With Postly, that means drafts, scheduling, approvals, calendar visibility, and publishing can be exposed safely to tools like ChatGPT, Claude, and Cursor.
MCP Package API Integrations Approval-Safe Workflows
What you can do with MCP in Postly
Use AI as the entry point and keep execution inside Postly.
- Connect ChatGPT, Claude, and Cursor to real publishing workflows
- Expose existing Postly actions through a thin MCP layer
- Keep approvals, permissions, and scheduling inside Postly
- Support API-based automation through Zapier, Make, n8n, and internal systems
- Create a clean page + guide content hub around MCP use cases
- Turn AI generation into structured execution without rebuilding core product logic
MCP Guides
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Developer MCP Workflows
Use Cursor and internal tooling to turn changelogs, launches, and prompts into executable flows.
API & Automation Workflows
Support Zapier, Make, n8n, and internal automation through API endpoints and webhooks.
Native Surface Workflows
Extend drafting into Notion, Google Docs, and browser extensions without replacing Postly as the control layer.
Draft-to-Publish Execution
Map AI output into drafts, approvals, scheduling, and publishing while preserving existing Postly logic.
Safe Automation by Default
Keep human review, role-based permissions, and workspace rules in place even when AI triggers the workflow.