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wigolo

Local-first web intelligence MCP server for AI coding agents

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Install wigolo in your MCP client

wigolo is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

  1. Locate your client's MCP config file.
    • Cursor: ~/.cursor/mcp.json
    • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
    • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
    • VS Code: Settings → Extensions → MCP
    • Windsurf: Settings → MCP Servers
  2. Add wigolo to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
  3. Restart your client so it picks up the new server.
  4. Verify — ask the assistant to list available tools; wigolo's tools should appear.
{
  "mcpServers": {
    "wigolo": {
      "command": "npx",
      "args": [
        "-y",
        "@staticn0va/wigolo"
      ]
    }
  }
}

Install wigolo in Cursor

Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. wigolo will show up in the assistant's tool list on next launch.

Install wigolo in Claude Desktop (macOS)

Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). wigolo will show up in the assistant's tool list on next launch.

Install wigolo in Claude Desktop (Windows)

Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). wigolo will show up in the assistant's tool list on next launch.

Install wigolo in VS Code

Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. wigolo will show up in the assistant's tool list on next launch.

npm package: @staticn0va/wigolo

Transport

wigolo supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

stdio

From the wigolo README

# wigolo Local-first web intelligence MCP server. 8 tools: `search`, `fetch`, `crawl`, `cache`, `extract`, `find_similar`, `research`, `agent`. Runs on Node 20+. No API keys required for the core path. > **Status:** `v0.1.15+` — the **core direct-engine retrieval path is now the default** (`WIGOLO_SEARCH=core`). Legacy SearXNG and the new `hybrid` (core + smart fallback) modes are opt-in. Full v1.0 will land after the post-overhaul cross-tool bench rerun. ## Install ```bash npx @staticn0va/wigolo init ``` The init flow runs a system check, downloads the embedding + reranker models, bootstraps the legacy search engine (used by `WIGOLO_SEARCH=searxng` / `hybrid`), detects installed AI coding agents (Claude Code, Cursor, Gemini CLI, Codex, Windsurf, Zed, OpenCode), and writes MCP config…

More automate.browser.scraping MCP servers

Other Model Context Protocol servers in the same space as wigolo. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.