Post Fusion provides a Model Context Protocol (MCP) server, letting AI assistants like Claude, Cursor, and VS Code work directly with your Post Fusion account. Once connected, you can ask your AI tool to create and schedule posts, generate videos, manage campaigns, and analyse performance across all your connected social platforms — all in plain language.
This guide walks you through connecting Post Fusion to the most popular AI tools.
Before you start, make sure you have:
An active Post Fusion account. You will sign in during setup — the same login you use in the Post Fusion app. Create one here if you don’t have it yet.
An AI tool that supports remote MCP servers (see the tool-specific sections below).
The Post Fusion MCP server address:
https://api.postfusion.ai/mcp
That single URL is all most tools need. Post Fusion uses secure browser-based sign-in (OAuth), so you never paste passwords or API keys into your AI tool. The first time you connect, a browser window opens for you to log in and approve access.
Post Fusion’s MCP server is protected. When you add it to an AI tool:
You only do this once per tool. Your AI assistant then acts on your behalf, limited to your own account and data.
There are two ways to use Post Fusion with Claude, depending on which product you use.
Open Claude and go to Settings → Connectors.
Click Add custom connector.
Enter a name (for example, Post Fusion) and the server URL:
https://api.postfusion.ai/mcp
Click Add, then Connect. A browser window opens — sign in to Post Fusion and approve access.
Once connected, Post Fusion tools appear in the tools menu of any new chat.
Custom connectors are available on Claude Pro, Max, Team, and Enterprise plans.
Run the following command in your terminal:
claude mcp add --transport http postfusion https://api.postfusion.ai/mcp
The next time you start Claude Code, it will prompt you to authenticate in your browser. You can confirm the connection at any time with:
claude mcp list
Open Cursor Settings → MCP (or Tools & Integrations).
Click Add new MCP server (this opens your mcp.json file).
Add the Post Fusion entry:
{
"mcpServers": {
"postfusion": {
"url": "https://api.postfusion.ai/mcp"
}
}
}
Save the file. Cursor detects the server and prompts you to sign in through your browser.
When the indicator turns green, Post Fusion tools are available to the Agent.
In your project, create a file at .vscode/mcp.json (or run the MCP: Add Server command from the Command Palette).
Add the following:
{
"servers": {
"postfusion": {
"type": "http",
"url": "https://api.postfusion.ai/mcp"
}
}
}
Save the file and click Start above the server entry. A browser window opens for sign-in.
Open Copilot Chat in Agent mode — Post Fusion tools now appear in the tools list.
Any tool that supports remote (HTTP) MCP servers can connect to Post Fusion. Provide these details:
| Setting | Value |
|---|---|
| Server URL | https://api.postfusion.ai/mcp |
| Transport | Streamable HTTP |
| Authentication | OAuth (browser sign-in — no keys required) |
Most clients accept a JSON configuration in this shape:
{
"mcpServers": {
"postfusion": {
"url": "https://api.postfusion.ai/mcp"
}
}
}
After connecting, try asking your AI assistant to:
Your assistant uses Post Fusion’s tools behind the scenes to get it done.
https://api.postfusion.ai/mcp with no trailing spaces.Access is scoped to your own Post Fusion account. Connections use secure OAuth sign-in, so your credentials are never shared with the AI tool. You can revoke a tool’s access at any time from your Post Fusion account settings. For details on how we handle your data, see our Privacy Policy.