Market Research with Cursor: Search, Trends, and Analysis

Developers do market research, even if they don’t call it that. Checking which libraries are gaining adoption, looking at how competitors solved a problem, figuring out what terms to use in documentation. All of it involves pulling information from multiple sources and making sense of it. With AgentPatch connected, Cursor can handle the data collection so you can focus on the analysis.

Why This Matters

Market research during development usually means multiple browser tabs: Google for competitors, Google Trends for momentum, news sites for recent coverage. Each source gives you a piece of the picture, and synthesizing them takes time.

Cursor with AgentPatch can pull from Google News, Google Trends, and Google Search in one session. You ask a question in the chat, Cursor queries the relevant tools, and you get a structured answer. The research happens inside the editor, alongside the code it informs.

This matters most when you’re making decisions that depend on external context. Choosing a technology, positioning a product, naming a feature, or deciding whether a market is worth entering. Real data beats gut feeling.

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.

  1. Open Cursor Settings (Cmd+Shift+J on Mac, Ctrl+Shift+J on Windows/Linux).
  2. Navigate to the MCP section in the sidebar.
  3. Click Add new global MCP server.
  4. Cursor opens ~/.cursor/mcp.json. Add the AgentPatch server config:
{
  "mcpServers": {
    "agentpatch": {
      "url": "https://agentpatch.ai/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
  1. Replace YOUR_API_KEY with your actual key from the AgentPatch dashboard.
  2. Save and restart Cursor. It discovers all AgentPatch tools automatically.

Example

You’re evaluating whether to build a new developer tool in a space that already has players. In Cursor’s chat:

“I’m looking at building something in the API mocking space. Pull recent news on Mockoon, WireMock, and Postman Mock Server. Then check Google Trends to compare search interest. Finally, search for recent community discussion or product updates on each.”

Cursor calls Google News for recent coverage on each tool, queries Google Trends to compare their relative momentum, and runs Google searches for community activity. It returns a structured overview:

## Recent News
- Mockoon: v9.0 released with OpenAPI 3.1 support (2 weeks ago)
- WireMock: Acquired by SmartBear, community concerned about pricing
- Postman Mock Server: No major updates in past 3 months

## Search Trends (6 months)
- Mockoon: steady growth, +18% over period
- WireMock: stable, slight dip after acquisition news
- Postman Mock Server: declining, -12% over period

## Community Activity
- Mockoon: active Discord, weekly GitHub commits
- WireMock: migration guides appearing (people leaving after acquisition)
- Postman: discussion mostly around the broader Postman platform

You follow up:

“Based on that, where do you see gaps in the current offerings?”

Cursor synthesizes what it found and highlights potential gaps: areas where competitors are weak or where community frustration shows up consistently. That’s a useful starting point for positioning your own tool.

This kind of research session used to require an hour of browser work. With Cursor and AgentPatch, it takes a few minutes inside the editor.

Wrapping Up

AgentPatch gives Cursor a full set of research tools through one MCP connection. News, trends, web search, and more, all available without leaving the editor. Head to agentpatch.ai to get started.

← Back to blog