URL-Context-MCP MCP Server

The URL-Context-MCP MCP Server provides a tool to analyze and summarize the content of URLs using Google Gemini's URL Context capability via the Gemini API.

Now also supports optional grounding with Google Search alongside URL Context. The server is designed to follow prompt-only orchestration: control whether to search or scrape via the instruction text you provide.

Installation

Prerequisites

• Node.js 18+

• Set GOOGLE_API_KEY in your environment

Get a Gemini API key

• Sign in to Google AI for Developers and create an API key

  • See: Gemini API – API keys guide

• Copy the generated key and set it as GOOGLE_API_KEY for this server

  • Cursor (project): add to .cursor/mcp.json under env

  • Claude CLI one-liner example: shown below

  • Or set it in your shell before launching

Published Package

This MCP server is now available as a published npm package: @taiyokimura/url-context-mcp

• No need to clone the repository locally

• Can be run directly via npx @taiyokimura/url-context-mcp@latest

• See setup instructions below for Cursor and Claude Code

Build locally

Related MCP server: Youtube Vision MCP

Setup: Claude Code (CLI)

Use this one-line command (replace with your real API key):

To remove the server from Claude Code:

Setup: Cursor

Create .cursor/mcp.json at your repository root:

Other Clients and Agents

Install in VS Code
Install in VS Code Insiders

Or add via CLI:

Follow the MCP install guide and use the standard config above:

• Guide: https://modelcontextprotocol.io/quickstart/user

Add MCP Server with:

• Command: npx

• Args: ["@taiyokimura/url-context-mcp@latest"]

• Env: GOOGLE_API_KEY=sk-your-real-key

Advanced settings → Extensions → Add custom extension:

• Type: STDIO

• Command: npx

• Args: @taiyokimura/url-context-mcp@latest

• Enabled: true

Example ~/.config/opencode/opencode.json:

Open Qodo Gen (VSCode/IntelliJ) → Connect more tools → + Add new MCP → Paste the standard config JSON → Save.

Follow Windsurf MCP documentation and use the standard config above:

• Docs: https://docs.windsurf.com/windsurf/cascade/mcp

Configuration (Env)

• GOOGLE_API_KEY: Your Gemini API key

Available Tools

• analyze_urls

  • inputs:

    • urls: string | string[] (1-20 total)

    • instruction?: string

    • model?: string (default: gemini-2.5-flash)

    • use_google_search?: boolean (default: false) — enable grounding with Google Search in addition to URL Context

Prompt recipes (prompt-only orchestration)

• Scraping-only (user provided URLs). Example instruction:

  • "ユーザーが貼ったこれらのURLのみをURLコンテキストで解析し、要約・キーファクト・引用URLを日本語で提示。外部検索は禁止。取得失敗は明示。"

• Research with search + scraping, iterative up to 5 rounds. Example instruction:

  • "以下のテーマを調査。まずGoogle検索で候補を収集し、引用する全URLは必ずURLコンテキストで取得・要約・統合。カバレッジ不十分なら最大5回まで再検索・再収集して補完。日本語で簡潔に要約・キーファクト・引用URLを提示。"

Example invocation (MCP tool call)

Scraping-only example

Research + scraping (iterative) example

Troubleshooting

• 401 auth errors: verify GOOGLE_API_KEY

• Ensure Node 18+

• For npx usage: npx @taiyokimura/url-context-mcp@latest should work without local build

• For local development: use absolute path to build/index.js

References

• Model Context Protocol Quickstart

• MCP SDK Docs

• Gemini API URL context