Give your AI agent live social media data

1. Get a key and the server

Sign up for a free key (100 credits), then download vanefeed-mcp.mjs. It needs Node.js 18 or newer and has no other dependencies.

2. Add it to your client

{
  "mcpServers": {
    "vanefeed": {
      "command": "node",
      "args": ["/path/to/vanefeed-mcp.mjs"],
      "env": {
        "SW": "https://api.vanefeed.com",
        "SW_KEY": "sk_live_your_key"
      }
    }
  }
}

Restart the client. Cursor and other MCP clients use the same command and environment variables.

3. Ask

• "What has @NASA posted on X this week? Summarise the themes."
• "Find the newest YouTube videos about electric car reviews and list their view counts."
• "What are people in r/technology saying about AI chips today?"
• "Pull the latest TechCrunch articles and tell me which mention funding rounds."

Why it works well for agents

• One schema for every platform, so the agent learns one shape.
• Cost on every response (X-Credits-Cost), plus free dry_run price checks, so an agent can budget its own calls.
• Failed calls are free, so retries don't burn credits.
• Also available as an OpenAPI 3.1 spec and plain HTTP, if you build your own tools.