Install Aidelly as an MCP server and let Claude, ChatGPT, Cursor, or any MCP-compatible agent post, schedule, and analyze your social media natively. No app-switching, no copy-pasting.
Connect Aidelly to any MCP-compatible AI assistant
Full MCP support with native tool calling and rich responses
Schedule posts while coding without leaving your editor
Connect via MCP plugin support for social media actions
MCP integration for social media inside your AI IDE
LangChain, AutoGen, or any framework with MCP support
Every social media action, available as a tool your AI can call
Draft and publish posts to Facebook, Instagram, X/Twitter, LinkedIn, TikTok, and YouTube directly from your AI assistant.
Schedule posts for optimal times across all platforms. Your AI picks the best slots based on your audience data.
Pull engagement metrics, follower growth, and post performance data into your AI conversation for instant analysis.
Read and respond to comments, messages, and mentions across platforms without leaving your AI client.
Attach images, videos, and carousels to your posts. The MCP server handles platform-specific format requirements.
Access your brand voice settings so every AI-generated post stays on-brand across all platforms and team members.
Three steps from install to your first AI-powered social post
Add the Aidelly MCP config block to your AI client's configuration file. No Docker, no hosting, no infrastructure to manage.
Generate an API key from your Aidelly dashboard and paste it into the config. This authenticates your AI assistant with your account.
Restart your AI client and start asking it to create, schedule, and analyze social media posts across all your connected platforms.
Add this to your claude_desktop_config.json and restart Claude Desktop
{
"mcpServers": {
"aidelly": {
"command": "npx",
"args": ["-y", "@aidelly/mcp-server"],
"env": {
"AIDELLY_API_KEY": "your-api-key-here"
}
}
}
}Prefer a different integration method? We have you covered
Build custom integrations with our full REST API. Create posts, manage schedules, pull analytics, and more with standard HTTP requests. OpenAPI spec included.
View API DocsUse Aidelly as a Claude Skill for a streamlined experience built specifically for Anthropic's Claude. Ideal if you want a curated set of social media actions inside Claude.
Learn About Claude SkillEverything you need to know about using Aidelly as an MCP server
MCP (Model Context Protocol) is an open standard that lets AI assistants like Claude, ChatGPT, and Cursor connect to external tools. Aidelly's MCP server exposes social media capabilities (posting, scheduling, analytics, inbox) as tools your AI assistant can call directly. Instead of switching between apps, you describe what you want in natural language and your AI assistant handles the rest.
Aidelly's MCP server works with any MCP-compatible client, including Claude Desktop, Cursor, ChatGPT (with plugin support), Windsurf, and custom AI agents built on frameworks like LangChain or AutoGen. Any client that supports the Model Context Protocol can connect to Aidelly.
Yes. Once you install the Aidelly MCP server in Claude Desktop, you can ask Claude to schedule posts to any of the 6 supported platforms (Facebook, Instagram, X/Twitter, LinkedIn, TikTok, YouTube). Just describe what you want to post and when, and Claude will use the MCP tools to schedule it.
Setup takes under 5 minutes. You add a JSON config block to your AI client's configuration file (e.g., claude_desktop_config.json), paste your Aidelly API key, and restart the client. No server hosting, Docker containers, or complex infrastructure required.
Yes. The MCP server uses your Aidelly API key for authentication, so all actions respect your account permissions and connected platforms. Every action is logged in your Aidelly dashboard. You can revoke the API key at any time to disable access.
Connect your AI assistant to social media today. Install the MCP server, add your API key, and start posting from Claude, ChatGPT, or any MCP client.
If you are comparing multi-platform publishing tools, these guides focus on workflow fit, approvals, and operational speed instead of generic “top 10” lists.
The best publishing tool matches your team workflow: fast post creation, reliable scheduling, clear previews, platform support, and low-friction approvals. Operational reliability matters more than long feature lists you do not use.
A single tool can simplify operations, but every platform has unique constraints. The key is choosing a platform that handles your important channels well and gives your team a predictable review and scheduling workflow.
If writing and review are your bottlenecks, an AI-assisted workflow tool may improve output speed. If your team already has a strong content pipeline, a scheduler-first publishing tool may be enough.