B

Bocha Ai MCP Server

The Bocha AI Web Search MCP Server provides a search service for Chinese Internet content that complies with Chinese regulations, supporting output in Markdown and JSON formats.
2.5 points
20

What is the Bocha AI Web Search MCP Server?

The Bocha AI Web Search MCP Server is a model context protocol server specifically designed for Bocha AI, providing powerful web search functionality. It can retrieve relevant content from the Chinese Internet, including web page summaries and images, and return the results in a readable Markdown or structured JSON format.

How to use the Bocha AI Web Search MCP Server?

You can use this service through simple API calls or command - line tools. Just provide search keywords, select parameters such as the time range and the number of results, and you can obtain relevant search results.

Use cases

Suitable for scenarios that require searching Chinese Internet content, such as market research, information collection, and content analysis. It is particularly suitable for search requirements that need to comply with Chinese laws and regulations.

Main features

Web searchRetrieve relevant web page content, summaries, and images, supporting searches of Chinese Internet content.
Flexible time rangeSupports time range filtering from the past day to unlimited, meeting different timeliness requirements.
Intelligent summariesAn optional detailed text summary function to help quickly understand the content of search results.
Dual output formatsSupports output in a human - readable Markdown format and a program - processable JSON format.

Advantages and limitations

Advantages
Focus on Chinese Internet content and comply with Chinese laws and regulations
Provide flexible time range filtering
Support multiple output formats to adapt to different usage scenarios
Include an intelligent summary function to improve information acquisition efficiency
Limitations
Currently only support searches of Chinese Internet content
There is a limit on the number of search results (maximum 50)
AI search and proxy search functions will be added in the future

How to use

Installation preparation
Ensure that Node.js and npm are installed. Clone the project repository and install the dependencies.
Configure the environment
Copy the environment variable example file and configure your Bocha API key.
Build the project
Build the project to prepare for running.
Run the server
Run the built server using Node.js.

Usage examples

Search for the latest technology newsObtain the latest technology news about artificial intelligence in the past week
Market researchSearch for the latest trend report on the Chinese e - commerce market

Frequently Asked Questions

How to obtain a Bocha API key?
What is the maximum number of search results that can be returned?
What time range options are supported?
What is the difference between the Markdown and JSON output formats?

Related resources

Bocha AI official website
The official website of Bocha AI, providing API application and usage documentation.
GitHub repository
The source code repository of the project, containing the latest updates and issue tracking.
Node.js official website
The official website of Node.js, providing installation and usage guides.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "bocha-ai-search": {
      "command": "node",
      "args": [
        "/ABSOLUTE/PATH/bocha-ai-mcp-server/build/index.js"
      ],
      "env": {
        "BOCHA_API_KEY": "<YOUR_BOCHA_API_KEY>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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