URL-Context-MCP MCP

URL-Context-MCP MCP

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: con

Category
Visit Server

README

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
  • 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

cd /Users/kimurataiyou/url-context-mcp
npm i
npm run build

Setup: Claude Code (CLI)

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

claude mcp add URL-Context-MCP -s user -e GOOGLE_API_KEY="sk-your-real-key" -- npx @taiyokimura/url-context-mcp@latest

To remove the server from Claude Code:

claude mcp remove URL-Context-MCP

Setup: Cursor

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

{
  "mcpServers": {
    "URL-Context-MCP": {
      "command": "npx",
      "args": ["@taiyokimura/url-context-mcp@latest"],
      "env": { "GOOGLE_API_KEY": "sk-your-real-key" },
      "autoStart": true
    }
  }
}

Other Clients and Agents

<details> <summary>VS Code</summary>

Install in VS Code
Install in VS Code Insiders

Or add via CLI:

code --add-mcp '{"name":"URL-Context-MCP","command":"npx","args":["@taiyokimura/url-context-mcp@latest"],"env":{"GOOGLE_API_KEY":"sk-your-real-key"}}'

</details>

<details> <summary>Claude Desktop</summary>

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

  • Guide: https://modelcontextprotocol.io/quickstart/user </details>

<details> <summary>LM Studio</summary>

Add MCP Server with:

  • Command: npx
  • Args: ["@taiyokimura/url-context-mcp@latest"]
  • Env: GOOGLE_API_KEY=sk-your-real-key </details>

<details> <summary>Goose</summary>

Advanced settings → Extensions → Add custom extension:

  • Type: STDIO
  • Command: npx
  • Args: @taiyokimura/url-context-mcp@latest
  • Enabled: true </details>

<details> <summary>opencode</summary>

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

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "url-context-mcp": {
      "type": "local",
      "command": [
        "npx",
        "@taiyokimura/url-context-mcp@latest"
      ],
      "enabled": true
    }
  }
}

</details>

<details> <summary>Qodo Gen</summary>

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

<details> <summary>Windsurf</summary>

Follow Windsurf MCP documentation and use the standard config above:

  • Docs: https://docs.windsurf.com/windsurf/cascade/mcp </details>

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)

{
  "name": "analyze_urls",
  "arguments": {
    "urls": "https://note.com/hawk735/n/nbc585d0774df",
    "instruction": "日本語で、要約・キーファクト・引用URLを簡潔に",
    "use_google_search": true
  }
}

Scraping-only example

{
  "name": "analyze_urls",
  "arguments": {
    "urls": ["https://example.com/post1", "https://example.com/post2"],
    "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 + scraping (iterative) example

{
  "name": "google_search",
  "arguments": {
    "query": "最新のNext.js 14のApp Routerのベストプラクティス",
    "instruction": "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。"
  }
}

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured