+ Integration Guide
How to Connect Twitter MCP to Windsurf
Step-by-step guide to adding FetchLayer's Twitter/X MCP server to Windsurf. Give your AI coding agent access to tweet search, profiles, and follower data.
Written by Alex P.
- MCP
- Windsurf
- twitter scraping
- X scraping
- AI agent
- IDE integration
Windsurf is an AI-powered IDE by Codeium that supports the Model Context Protocol (MCP). You can connect FetchLayer’s Twitter/X MCP server to give Windsurf’s Cascade agent access to all 10 Twitter endpoints.
Prerequisites
- Windsurf installed
- A FetchLayer API key — get one free (no credit card)
Step 1: Open MCP settings
In Windsurf, open the MCP configuration:
- Open the Command Palette (
Ctrl+Shift+P/Cmd+Shift+P) - Search for “MCP: Configure” or “Windsurf Settings”
- Navigate to the MCP servers section
Alternatively, edit the config file directly at ~/.windsurf/mcp.json (global) or .windsurf/mcp.json (per-project).
Step 2: Add the FetchLayer server
Add this to your MCP configuration:
{
"mcpServers": {
"fetchlayer": {
"url": "https://mcp.fetchlayer.dev",
"headers": {
"Authorization": "Bearer sk-your-api-key"
}
}
}
}
Replace sk-your-api-key with your actual key from the FetchLayer dashboard.
Step 3: Restart and verify
Restart Windsurf or reload the window. The FetchLayer MCP server should appear in the agent’s available tools.
Try it out
Open Cascade (Windsurf’s AI agent) and try:
Search X/Twitter for discussions about “best TypeScript ORMs” and summarize the top recommendations.
Cascade will call FetchLayer’s Twitter tools and incorporate the data into its response.
More examples:
- “What are developers saying about Svelte 5 on X/Twitter?”
- “Get the profile and recent tweets from @rauchg”
- “Find verified followers of @levelsio”
All available tools
Once connected, Cascade has access to all 10 FetchLayer Twitter/X tools: search, tweet detail, replies, profiles, user tweets, followers, following, verified followers, and more. See the full endpoint list.