Install Wrenfield AI Search Visibility in VS Code
What you need first
- VS Code, installed.
- Nothing else: the server runs on its publisher's machines and VS Code connects to it.
Steps
- In your project, create
.vscode/mcp.json, or open it. For every project, run MCP: Open User Configuration from the Command Palette instead. - Add this block. If the file already has
servers, add only the entry inside it.
{
"servers": {
"ai-search-visibility": {
"type": "http",
"url": "https://mcp.apify.com?tools=wrenfield-data/ai-search-visibility-tracker,wrenfield-data/keyword-search-volume,wrenfield-data/ai-search-volume-checker,wrenfield-data/people-also-ask-scraper,wrenfield-data/ai-answer-scraper,wrenfield-data/agency-ai-visibility-reports"
}
}
} - Save the file and choose Start above the server's entry, or run MCP: List Servers. Its tools appear in Copilot Chat's agent mode.
Check it worked
Ask VS Code: List the tools of ai-search-visibility.
If it does not start
- 401 Unauthorized
- The endpoint wants a sign-in or a key. Sign in when VS Code asks.
- Nothing changes after a restart
- The file is not valid JSON any more. Look for a missing comma where the block was added.