MCP is the connection layer
Postly MCP gives AI clients a structured way to call approved Postly tools without exposing social account credentials inside prompts.
Parent layer for MCP and AI agents
Connect AI agents to real Postly publishing work.
Postly MCP is the main entry point for AI-powered social operations. It connects ChatGPT, Claude, Gemini, Windsurf, OpenRouter, and custom clients to Postly agents that create, schedule, publish, analyze, validate, and optimize content.
MCP
connection layer
9+
agent pages
19+
agent tools
14+
MCP tools
AI Agents are the work layer
Agents use those tools to plan campaigns, create drafts, upload media, validate channels, schedule posts, and analyze results.
Postly is the control layer
Permissions, workspaces, channels, activity history, validation, and publishing controls remain inside Postly.
How the system fits
MCP is the parent. AI Agents are the operators.
Start at MCP when you want to connect an AI client to Postly. Move into AI Agents when you want named assistants, saved workflows, templates, governance, and reusable execution patterns.
Video demos
Watch Postly MCP connect and publish.
The original MCP demo videos remain here: connect Postly MCP to ChatGPT, then use ChatGPT with Postly MCP to publish to LinkedIn.
Connect ChatGPT Agent to Postly and Publish
Connect ChatGPT to Postly, and publish across all your channels.
Open demo on YouTubeConnect Claude Agent to Postly and Publish
Connect Claude to Postly, and publish across all your channels.
Open demo on YouTubeAI agent entry points
Choose the agent your team already uses.
Each agent page explains how that AI client works with Postly for content, promotions, scheduling, analytics, media, and governance.
CH
ChatGPT
Brainstorm, draft, schedule, report, and refine campaigns from ChatGPT with Postly as the secure execution layer.
View agent page
CL
Claude
Turn briefs, research, and long-form content into approved social campaigns, analytics reports, and saved workflows.
View agent page
GE
Gemini
Use Gemini for content planning, multimodal campaign ideas, publishing validation, and channel performance summaries.
View agent page
WI
Windsurf
Connect developer-led launch, changelog, docs, and product workflows to Postly publishing and analytics.
View agent page
OP
OpenRouter
Route model outputs into one governed Postly workflow for drafts, schedules, validation, analytics, and reports.
View agent page
MO
More Agents
Explore OpenClaw, Hermes, Cabinet, NanoClaw, and the wider Postly AI Agents ecosystem.
View agent page
MCP capabilities
A professional tool layer for agentic publishing.
These are the MCP capabilities that make Postly useful inside AI clients: integrations, custom clients, publishing, analytics, media, and cross-platform execution.
ChatGPT MCP Integration
Connect ChatGPT to Postly so conversations can create drafts, prepare campaigns, retrieve analytics, and trigger approved publishing workflows.
Claude MCP Integration
Use Claude with Postly MCP to plan content, generate posts, review performance, manage schedules, and support publishing workflows.
Gemini MCP Integration
Turn Gemini into a Postly-connected publishing assistant for content creation, scheduling, campaign support, and analytics review.
Custom MCP Clients
Connect any MCP-compatible assistant, agent, IDE, or multi-agent system to Postly with secure workspace-aware access.
AI Publishing & Scheduling
Create drafts, validate content, queue posts, schedule campaigns, publish approved content, and manage multi-platform workflows through MCP.
Cross-Platform Publishing
Publish and manage content across social, blog, email, newsletter, and business profile channels from one MCP-connected workflow.
Analytics & Insights
Retrieve account analytics, post performance, engagement metrics, publishing activity, delivery reports, and campaign insights directly inside AI workflows.
Media & Asset Management
Upload, import, manage, and attach images, videos, documents, and publishing assets from connected AI assistants.
Campaign Workflows
Manage campaign briefs, labels, approvals, publishing targets, scheduled content, and workflow status across connected channels.
Agent tools
The same MCP foundation powers the AI Agents page.
Agents can discover workspaces, manage posts, upload media, validate channels, inspect activity, use workflow templates, and keep access scoped.
Connect AI Agents
Connect ChatGPT, Claude, Gemini, Windsurf, OpenRouter, OpenClaw, Hermes, Cabinet, NanoClaw, and other MCP-compatible AI platforms to your Postly workspace. Manage connections, permissions, access, and activity from a centralized AI Agents dashboard.
Publishing & Scheduling
Enable AI agents to create drafts, schedule posts, publish content, update existing posts, manage queues, organize publishing calendars, and execute publishing workflows across connected channels.
Post Management
Allow AI agents to create, edit, review, validate, duplicate, schedule, publish, monitor, archive, and delete posts directly through Postly while maintaining workspace permissions and publishing controls.
Analytics Access
Give AI agents access to account analytics, post analytics, engagement metrics, audience insights, publishing performance, growth metrics, campaign reporting, and historical performance data across connected channels.
Workspace Discovery
Allow connected AI agents to discover organizations, workspaces, social accounts, newsletters, publishing destinations, channels, and other resources available within your Postly environment.
Media Uploads
Allow AI agents to upload media assets, attach images and videos to posts, validate media requirements, organize content assets, and prepare media-rich content for publishing.
Publishing Activity
Allow AI agents to review publishing history, delivery status, scheduling activity, publishing outcomes, campaign performance, failed deliveries, and content lifecycle events.
Channel Validation
Enable AI agents to validate content against platform requirements, media constraints, character limits, publishing rules, channel requirements, and destination-specific publishing guidelines before content is published.
Agent Activity Tracking
Monitor recent actions performed by connected AI agents including publishing requests, analytics retrieval, media uploads, workflow execution, content reviews, and workspace activity.
What teams do with it
Simple prompts become finished social operations.
MCP gives the AI assistant the tools. Postly agents turn those tool calls into draft creation, campaign execution, reporting, and repeatable workflows.
Create a 30-day content calendar and save approved posts as scheduled Postly drafts.
Publish a LinkedIn campaign from ChatGPT after Postly validates media, copy, and destination rules.
Analyze last month across connected channels and generate the next campaign plan.
Repurpose a blog post into LinkedIn, X, Instagram, Facebook, Google Business Profile, and newsletter content.
Turn release notes, product updates, or RSS items into review-ready social campaigns.
Save repeatable prompts as reusable AI Agent workflows for the next client or launch.
Trust and governance
AI speed with Postly control.
The best agent workflow is fast, visible, and governed. Postly keeps social operations grounded in workspace permissions, validation, activity, and review.
Scoped access
Agents only work with the organizations, workspaces, channels, media, analytics, and actions that a user authorizes.
Publishing validation
Postly checks character limits, media constraints, channel requirements, account readiness, and destination rules before publish.
Activity visibility
Teams can see what agents connected to, what they requested, what was scheduled, and what still needs review.
Credentials stay out of prompts
Postly manages the connection to social platforms, newsletters, media, and analytics so agents use approved tools instead.
Setup
Connect once, then let approved AI workflows act.
Use the Postly dashboard to connect agents, manage permissions, and launch workflows. Developer teams can also use the MCP repository for deeper integration work.
MCP connection shape
{
"mcpServers": {
"postly": {
"command": "npx",
"args": ["postly-mcp"],
"env": {
"POSTLY_API_KEY": "your_secure_postly_key"
}
}
}
}Next steps
Start at MCP. Scale through AI Agents.
Use this page as the parent entry point, then move to the AI Agents hub when you want agent-specific pages, workflow templates, saved playbooks, and publishing operations.
MCP entry point
Use the clean MCP route for the connection layer and platform overview.
AI Agents hub
Browse ChatGPT, Claude, Gemini, Windsurf, OpenRouter, OpenClaw, Hermes, Cabinet, and NanoClaw.
Postly API
Review API options for custom automation and developer workflows.
MCP GitHub
Open the public repository for setup notes, examples, and implementation details.