What dependencies does jcrawl4ai-mcp-server require?
The project depends on Spring AI MCP Server, Spring Boot, and Hutool.
@rainyheart
Basic information
Java implementation of MCP Server for Crawl4ai
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
jcrawl4ai-mcp-server is a Spring Boot-based MCP server (Java implementation) that interacts with the Crawl4ai API to perform web crawling. It allows users to crawl specified URLs with configurable strategy, maximum depth, and output format, and to retrieve crawl results by task ID.
Configure the cawl4ai.base-url and cawl4ai.api-token properties in src/main/resources/application.properties. Build with Maven (mvn clean install) and run the resulting JAR (java -jar target/jcrawl4ai-mcp-server-1.0.0.jar). A pre-built JAR is also available for download. The server uses stdio transport as shown in the MCP configuration example.
The project depends on Spring AI MCP Server, Spring Boot, and Hutool.
Set `cawl4ai.base-url` (e.g., `http://your-crawl4ai-server-url:11235`) and `cawl4ai.api-token` (your API token) in the `application.properties` file.
The server uses stdio transport, as shown in the MCP configuration JSON with `"transportType": "stdio"`.
Yes, a pre-built JAR (`jcrawl4ai-mcp-server-1.0.0.jar`) can be downloaded from the link provided in the README.
Use the `task` method with the task ID to retrieve the crawl result as a JSON string.
MCP Toolbox for Databases is an open source MCP server for databases.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Hindsight: Agent Memory That Learns

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code
Comments