CyberChef API MCP Server
Enables LLM clients to encode, decode, and transform data using CyberChef operations via an MCP server that interfaces with the CyberChef API.
README
CyberChef API MCP Server
This model context protocol (MCP) server interfaces with the CyberChef Server API. Allowing you to use any LLM/MCP client of your choosing to utilise the tools and resources within CyberChef.
🧰 Available Tools and Resources
get_cyberchef_operations_categories: resource - gets updated Cyber Chef categories for additional context / selection of the correct operationsget_cyberchef_operation_by_category: resource - gets list of Cyber Chef operations for a selected categorybake_recipe: tool - bake (execute) a recipe (a list of operations) in order to derive an outcome from the input databatch_bake_recipe: tool - bake (execute) a recipe (a list of operations) in order to derive an outcome from a batch of input dataperform_magic_operation: tool - perform CyberChef's magic operation which is designed to automatically detect how your data is encoded and which operations can be used to decode it
📝 Usage
Start the server using the default stdio transport and specifying an environment variable pointing to a CyberChef API
CYBERCHEF_API_URL="your-cyberchef-api-url" uv run cyberchef_api_mcp_server
🧑💻Usage (Development)
Start the server and test it with the MCP inspector
uv add "mcp[cli]"
mcp dev server.py
📚 Client Configuration
The following commands will generate a client configuration file, the location will depend on your operating system
uv add "mcp[cli]"
mcp install server.py --name "CyberChef API MCP Server"
[!TIP] After running the above command you can then tweak the client configuration to include the environment variable for the CyberChef API URL
{
"mcpServers": {
"CyberChef API MCP Server": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"--directory",
"cyberchef-api-mcp-server/cyberchef_api_mcp_server/",
"mcp",
"run",
"server.py"
],
"env": {
"CYBERCHEF_API_URL": "your-cyberchef-api-url"
}
}
}
}
🔍 Demo
Using the MCP server in this example use case, the following prerequisites apply:
- You must have Claude desktop installed
- Have a running CyberChef API instance or one you are able to use
Here is a basic prompt being solved using the MCP server tools: <img width="1511" src="https://github.com/user-attachments/assets/657f52b3-43eb-4c3b-94f1-289fc12817b2" />
🙇 References
🪪 License
MIT License
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。