Can OpenClaw Search the Web? Native vs MCP Options

Short answer: yes, partially. OpenClaw ships with Brave Search built in, so it can perform web searches out of the box. But if you want Google Search, Bing Search, or more specialized search tools (news, images, trends), you need to add them through MCP. The native search works fine for basic queries. The MCP options give you more coverage and control.

What OpenClaw Can Do Natively

OpenClaw includes Brave Search as a default tool. When you ask it a question about something current, it can run a Brave Search query and return results. This works for general fact-finding, checking recent events, and answering questions that require up-to-date information.

Brave Search is a solid search engine. It returns relevant results for most common queries, and the integration is automatic. You don’t need to configure anything. Ask your OpenClaw bot a question in Telegram or Discord, and if it decides a web search would help, it calls Brave Search and uses the results.

For many users, this is enough. If your use case is “answer questions that need current information,” the built-in search covers it.

What It Cannot Do Without Additional Tools

Brave Search has gaps. Its index is smaller than Google’s, which means it sometimes misses results that Google would surface. For niche topics, local business queries, or region-specific searches, Google tends to return better results.

OpenClaw also cannot search Google News, Google Images, or Google Trends natively. It has no access to Bing Search. If you want to monitor news for a specific topic, track trending search terms, or find images related to a query, the built-in Brave Search won’t cover those use cases.

There’s also the question of search quality for professional tasks. If you’re doing market research, competitive analysis, or SEO work, you usually want Google results because that’s what your audience is using. Brave Search results may not match what appears on Google’s first page.

How MCP Tools Fill the Gap

AgentPatch provides Google Search, Bing Search, Google News, Google Trends, and Google Image Search as MCP tools. When you connect AgentPatch to OpenClaw, your agent gains access to all of these alongside its existing Brave Search.

The agent picks the right tool based on context. A general question might still use Brave Search. A request like “search Google for competitor pricing” will use the Google Search tool. A request for “trending topics in AI this week” will use Google Trends.

Having multiple search engines available is useful for verification too. You can ask OpenClaw to search both Google and Brave for the same query and compare results, which is valuable for research tasks where you want to avoid gaps.

Setup

The AgentPatch CLI is designed for AI agents to use via shell access. Install it, and your agent can discover and invoke any tool on the marketplace.

Install (zero dependencies, Python 3.10+):

pip install agentpatch

Set your API key:

export AGENTPATCH_API_KEY=your_api_key

Example commands your agent will use:

ap search "web search"
ap run google-search --input '{"query": "test"}'

Get your API key from the AgentPatch dashboard.

Install the AgentPatch skill from ClawHub — it teaches OpenClaw when to use AgentPatch and how to use the CLI:

clawhub install agentpatch

MCP Server (Alternative)

If you prefer raw MCP tool access instead of the skill, add AgentPatch to ~/.openclaw/openclaw.json:

{
  "mcp": {
    "servers": {
      "agentpatch": {
        "transport": "streamable-http",
        "url": "https://agentpatch.ai/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_KEY"
        }
      }
    }
  }
}

Replace YOUR_API_KEY with your actual key from the AgentPatch dashboard. Restart OpenClaw and it discovers all AgentPatch tools automatically.

Example

You’re using OpenClaw for market research in your Telegram chat:

“Search Google for ‘best project management tools 2026’ and give me the top 10 results with their descriptions.”

OpenClaw calls Google Search through AgentPatch and returns a structured list. This gives you the same results your potential customers would see when searching that term.

For news monitoring:

“Search Google News for articles about OpenAI published in the last 24 hours. Summarize the top 5.”

OpenClaw uses the Google News tool, pulls the recent articles, and gives you a digest. This is something Brave Search alone can’t do with the same level of news-specific filtering.

For trend analysis:

“Check Google Trends for the search term ‘AI agent’ over the past 12 months. Is interest growing or declining?”

OpenClaw calls the Google Trends tool and reports back on the trend direction, related queries, and regional interest.

You can also combine search tools in a single request:

“Search Google for our competitor’s product page, then search Google News for any recent press coverage about them.”

OpenClaw chains the two searches and gives you a combined briefing.

Wrapping Up

OpenClaw’s built-in Brave Search handles basic web queries well. For Google-specific results, news monitoring, trend tracking, and image search, MCP tools through AgentPatch fill the gaps. One connection gives you access to all of them. Browse the full tool catalog at agentpatch.ai.

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