Skip to main content
Glama

jcrawl4ai-mcp-server

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

              Related MCP Servers

              View all related MCP servers

              MCP directory API

              We provide all the information about MCP servers via our MCP API.

              curl -X GET 'https://glama.ai/api/mcp/v1/servers/rainyheart/jcrawl4ai-mcp-server'

              If you have feedback or need assistance with the MCP directory API, please join our Discord server