CyberChef API MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CyberChef API MCP Serverdecode this base64 string: SGVsbG8gV29ybGQ="
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: superpowers-mcp
📝 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"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:
🙇 References
🪪 License
MIT License
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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/slouchd/cyberchef-api-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server