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This MCP server provides access to CyberChef's powerful data manipulation and analysis tools via API, enabling LLMs to perform complex encoding/decoding tasks.
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This MCP server provides access to CyberChef's powerful data manipulation and analysis tools via API, enabling LLMs to perform complex encoding/decoding tasks.
This server is relatively safe for read-only operations and simple recipe execution. However, caution should be exercised when using batch processing or exposing the CyberChef API URL to untrusted environments. Ensure the CyberChef API itself is properly secured.
Performance depends on the complexity of the CyberChef recipe and the size of the input data. Batch processing can improve throughput but may also increase latency.
Cost depends on the resources consumed by the CyberChef API server. Consider the cost of API calls and the computational resources required for complex operations.
{
"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"
}
}
}
}CYBERCHEF_API_URLget_cyberchef_operations_categoriesRetrieves a list of available operation categories from CyberChef.
Read-only operation, no side effects.
get_cyberchef_operation_by_categoryRetrieves a list of CyberChef operations within a specified category.
Read-only operation, no side effects.
bake_recipeExecutes a CyberChef recipe on the provided input data.
Executes code, but within CyberChef's sandboxed environment.
batch_bake_recipeExecutes a CyberChef recipe on a batch of input data.
Executes code, but within CyberChef's sandboxed environment. Batch processing increases risk.
perform_magic_operationUtilizes CyberChef's magic function to automatically detect and apply relevant operations.
Automated operation selection could lead to unexpected behavior.
Environment Variable
hybrid
This server is relatively safe for read-only operations and simple recipe execution. However, caution should be exercised when using batch processing or exposing the CyberChef API URL to untrusted environments. Ensure the CyberChef API itself is properly secured.
Autonomy is limited by the capabilities of the CyberChef API and the defined recipes. CyberChef provides a sandboxed environment for recipe execution.
Production Tip
Monitor the CyberChef API server's resource usage to prevent performance bottlenecks when executing complex or batched recipes.
It provides an interface for LLMs to access CyberChef's data manipulation and analysis capabilities.
Set the CYBERCHEF_API_URL environment variable to the URL of your CyberChef API instance.
You can perform any operation supported by the CyberChef API, including encoding, decoding, encryption, decryption, and data transformation.
The server itself is relatively safe, but the security depends on the security of the CyberChef API and the recipes you execute. Follow security best practices when configuring and using the server.
Yes, but be mindful of the performance limitations of the CyberChef API and the available resources. Consider using batch processing for improved throughput.
The MCP server will return an error, and the client will need to handle the error appropriately.
Authentication is handled by the CyberChef API itself. The MCP server simply passes requests to the API.