jcrawl4ai-mcp-server

Integrations

  • Provides the foundation for the MCP server implementation through Spring AI MCP Server functionality.

  • Serves as the application framework for the MCP server, providing web service capabilities.

jcrawl4ai-mcp-server

Java implementation of MCP Server for interacting with Crawl4ai API.

Project Overview

jcrawl4ai-mcp-server is a Spring Boot-based MCP server that interacts with the Crawl4ai API to perform web crawling. The main functionalities include:

  • Crawling specified URLs using a given strategy, maximum depth, and output format.
  • Getting the crawl result by a given task ID.

Configuration

application.properties

Configure the following properties in the src/main/resources/application.properties file:

  • cawl4ai.base-url: Base URL of the Crawl4ai server.
  • cawl4ai.api-token: API token for the Crawl4ai server.

Example configuration:

cawl4ai.base-url=http://your-cral4ai-server-url:11235 cawl4ai.api-token=your-api-token

Dependencies

The project depends on the following libraries:

  • Spring AI MCP Server
  • Spring Boot
  • Hutool

Running the Project

Build and run the project using Maven:

mvn clean install java -jar target/jcawl4ai-mcp-server-1.0.0.jar

You can download the jar file from this link directly.

APIs

Crawl4aiApi

crawl Method
  • Description: Call the Crawl4ai API to crawl the specified URLs.
  • Parameters:
    • urls: Array of target website URLs.
    • strategy: Crawl strategy.
    • max_depth: Maximum depth.
    • output_format: Output format.
  • Return Value: JSON string of the crawl result.
task Method
  • Description: Get the crawl result by a given task ID.
  • Parameters:
    • taskId: Task ID.
  • Return Value: JSON string of the crawl result.

Logging

Log file path: ./target/mcp-stdio-server.log.

MCP Server Configuration

{ "mcpServers": { "jcawl4ai-mcp-server": { "autoApprove": [ "crawl", "task" ], "disabled": false, "timeout": 60, "command": "java", "args": [ "-jar", "/path/to/your/jar/file/jcawl4ai-mcp-server-1.0.0.jar" ], "transportType": "stdio" } } }

Contact

If you have any questions or suggestions, please contact Ken Ye.


jcrawl4ai-mcp-server

Java 实现的 MCP 服务器,用于与 Crawl4ai API 进行交互。

项目概述

jcrawl4ai-mcp-server 是一个基于 Spring Boot 的 MCP 服务器,用于调用 Crawl4ai API 进行网页爬取。该项目的主要功能包括:

  • 使用指定的策略、最大深度和输出格式对给定的 URL 进行爬取。
  • 根据给定的任务 ID 获取爬取结果。

配置

application.properties

src/main/resources/application.properties 文件中配置以下属性:

  • cawl4ai.base-url:Crawl4ai 服务器的基础 URL。
  • cawl4ai.api-token:Crawl4ai 服务器的 API 令牌。

示例配置:

cawl4ai.base-url=http://your-cral4ai-server-url:11235 cawl4ai.api-token=your-api-token

依赖

项目依赖于以下库:

  • Spring AI MCP Server
  • Spring Boot
  • Hutool

启动

使用 Maven 构建并运行项目:

mvn clean install java -jar target/jcawl4ai-mcp-server-1.0.0.jar

您可以从以下链接中直接下载jar包: link

接口

Crawl4aiApi

crawl 方法
  • 描述:调用 Crawl4ai API 爬取指定的 URL。
  • 参数
    • urls:目标网站的 URL 数组。
    • strategy:爬取策略。
    • max_depth:最大深度。
    • output_format:输出格式。
  • 返回值:爬取结果的 JSON 字符串。
task 方法
  • 描述:根据给定的任务 ID 获取爬取结果。
  • 参数
    • taskId:任务 ID。
  • 返回值:爬取结果的 JSON 字符串。

日志

日志文件路径为 ./target/mcp-stdio-server.log

MCP Server 配置

{ "mcpServers": { "jcawl4ai-mcp-server": { "autoApprove": [ "crawl", "task" ], "disabled": false, "timeout": 60, "command": "java", "args": [ "-jar", "/path/to/your/jar/file/jcawl4ai-mcp-server-1.0.0.jar" ], "transportType": "stdio" } } }

联系

如果您有任何问题或建议,请联系 Ken Ye

-
security - not tested
A
license - permissive license
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

jcrawl4ai-mcp-server

  1. Project Overview
    1. Configuration
      1. application.properties
    2. Dependencies
      1. Running the Project
        1. APIs
          1. Crawl4aiApi
        2. Logging
          1. MCP Server Configuration
            1. Contact
              1. jcrawl4ai-mcp-server
                1. 项目概述
                2. 配置
                3. 依赖
                4. 启动
                5. 接口
                6. 日志
                7. MCP Server 配置
                8. 联系

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