Bing Search MCP server

The Bing Searches Analysis Toolkit provides a comprehensive system for collecting, processing, and analyzing Bing search data to extract valuable insights and patterns from search queries. It enables automated data collection, result parsing, and trend analysis to help you identify emerging topics and search patterns.

Installation

To install the Bing Searches Analysis Toolkit, you'll need Node.js 18 or higher. Run the following command to install the package:

npm install bing-searches-toolkit

Requirements

Before getting started, make sure you have:

• Node.js 18+
• Bing Search API Key (optional but recommended)
• Proxy support for large-scale searches

Configuration

The toolkit can be configured with the following environment variables:

BING_API_KEY=your_bing_api_key
PROXY_URL=optional_proxy_endpoint

While a Bing API key is optional, it's recommended for better performance and to avoid rate limiting issues.

Usage

Basic Search Collection

To collect data on a specific topic, use the collect command:

bingsearch collect --topic "your-search-topic"

This will gather Bing search results related to your specified topic and save them for analysis.

Analyzing Collected Data

After collecting search data, analyze it using the analyze command:

bingsearch analyze --input results.json

This will process the collected search results and generate insights about trends and patterns.

Use Cases

The Bing Searches Analysis Toolkit is particularly useful for:

• Market Research - Understand what people are searching for in your industry
• Trend Forecasting - Identify emerging topics before they become mainstream
• Competitive Intelligence - Monitor competitor visibility in search results
• Content Strategy - Develop content based on actual search behavior
• Academic Research - Study search patterns for research purposes

Key Features

Automated Search Collection

The toolkit systematically gathers Bing search results based on your configured parameters, allowing for consistent data collection over time.

Data Parsing

Advanced extraction capabilities pull meaningful information from search results, including titles, snippets, URLs, and related searches.

Trend Analysis

Built-in analytics help identify search patterns and emerging topics from the collected data.

Flexible Output

Export and analyze your data in multiple formats to suit your specific needs.

Configurable Scraping

Customize search parameters to focus on specific regions, languages, or result types.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.