Social media analytics, video analysis, and competitor intel for any MCP-compatible AI agent.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-scrollmark-socialgpt": {
"command": "<see-readme>",
"args": []
}
}
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Social media analytics, video analysis, and competitor intel for any MCP-compatible AI agent.
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Your social data, inside every AI tool.
Connect SocialGPT to Claude, ChatGPT, Cursor, and any AI agent that speaks the Model Context Protocol. Your analytics, video analysis, and content intelligence — available everywhere you work.
Setup · Tools · Guided workflows · Authentication · Roadmap
This is the public front door for the SocialGPT MCP server — a hosted, remote MCP server that brings your social media analytics into any MCP-compatible AI agent. There's nothing to install and no API keys to manage: you point your client at one URL and authenticate once with your SocialGPT account.
Connection URL:
https://mcp.gpt.social/mcp
New to SocialGPT? Create a free account, then connect a social account to unlock analysis of your own content. Public/competitor analysis works without connecting anything.
Pick your client, paste the config, and authenticate with your SocialGPT account. Most clients open a browser window for OAuth the first time an agent uses a SocialGPT tool.
Ready-to-copy config files for each client live in examples/.
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS), then restart Claude Desktop:
{
"mcpServers": {
"socialgpt": {
"url": "https://mcp.gpt.social/mcp"
}
}
}
Settings → Integrations → Add more → paste the URL and follow the prompts:
https://mcp.gpt.social/mcp
Claude.ai handles authentication during the integration setup flow.
claude mcp add --transport http socialgpt https://mcp.gpt.social/mcp
On your first request that uses SocialGPT tools, Claude Code opens a browser for OAuth sign-in and caches the token locally.
Add to your project's .cursor/mcp.json, or ~/.cursor/mcp.json for global access:
{
"mcpServers": {
"socialgpt": {
"url": "https://mcp.gpt.social/mcp"
}
}
}
Add to .vscode/mcp.json in your workspace (or run MCP: Add Server from the command palette):
{
"servers": {
"socialgpt": {
"type": "http",
"url": "https://mcp.gpt.social/mcp"
}
}
}
Settings → Tools & integrations → Add MCP server, then paste the URL:
https://mcp.gpt.social/mcp
Add to ~/.codex/config.toml (or .codex/config.toml for a single project):
[mcp_servers.socialgpt]
url = "https://mcp.gpt.social/mcp"
Add to ~/.gemini/config/mcp_config.json:
{
"mcpServers": {
"socialgpt": {
"serverUrl": "https://mcp.gpt.social/mcp"
}
}
}
Any client that supports the Model Context Protocol can connect using the server URL https://mcp.gpt.social/mcp. Check your client's docs for where to register an MCP server, and use the streamable HTTP transport.
| Your content | Full visibility into your own posts and performance — list and search your analyzed videos, deep-dive analysis with hooks, themes, and transcripts, and track views, e |