Cyberchef API | AI Builder Hub Review & Alternatives | Flaex AI

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Cyberchef API

Safety: 55/100

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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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Overview

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.

HybridPython34 starsMIT

Connections & Capabilities

Connects To

GitHub

Capabilities

ReadWriteExec

Client Compatibility

Claude Desktop

full

Cursor

untested

Windsurf

untested

VS Code (Copilot)

untested

Quickstart

Claude Desktop Config

{
 "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"
     }
   }
 }
}

Environment Variables

CYBERCHEF_API_URL

Tools (5)

safe

get_cyberchef_operations_categories

Retrieves a list of available operation categories from CyberChef.

Read-only operation, no side effects.

safe

get_cyberchef_operation_by_category

Retrieves a list of CyberChef operations within a specified category.

Read-only operation, no side effects.

moderate

bake_recipe

Executes a CyberChef recipe on the provided input data.

Executes code, but within CyberChef's sandboxed environment.

moderate

batch_bake_recipe

Executes a CyberChef recipe on a batch of input data.

Executes code, but within CyberChef's sandboxed environment. Batch processing increases risk.

moderate

perform_magic_operation

Utilizes CyberChef's magic function to automatically detect and apply relevant operations.

Automated operation selection could lead to unexpected behavior.

Security

Auth Method

Environment Variable

Data Locality

hybrid

Known Risks

!Exposure of the CYBERCHEF_API_URL environment variable.
!Potential for resource exhaustion with complex or batched recipes.
!Vulnerabilities in the underlying CyberChef API could be exploited.
!Lack of input validation in recipes could lead to unexpected behavior.

Safety Score

moderate risk

Positive

+Recipe execution is sandboxed within CyberChef's environment.
+No direct filesystem access.
+Access is controlled via the CyberChef API URL.
+Read-only operations available for exploring CyberChef capabilities.

Risks

-Maliciously crafted recipes could potentially cause resource exhaustion.
-Exposure of the CyberChef API URL could lead to unauthorized access.
-Batch processing could amplify the impact of a flawed recipe.
-Lack of built-in RBAC within the MCP server itself.

Use Cases

Data Decoding

-Automatically decode base64 encoded strings.
-Identify and decode obfuscated text.
-Convert data between different character encodings.

Security Analysis

-Analyze network traffic captures.
-Deobfuscate malicious code snippets.
-Extract indicators of compromise from text.

Data Transformation

-Convert data formats (e.g., JSON to CSV).
-Perform data sanitization and cleaning.
-Encrypt or decrypt data using various algorithms.

Forensic Analysis

-Extract metadata from files.
-Recover deleted data.
-Analyze disk images.

Who Is This For?

Best For

Security analysts performing data manipulation tasks.
Developers needing to encode or decode data.
Researchers analyzing data patterns.
Automated data processing pipelines.

Not Ideal For

Real-time data processing with strict latency requirements.
Environments with limited network connectivity to the CyberChef API.
Tasks requiring direct filesystem access or system-level privileges.

Autonomy & Execution

Default ModeRead and Write enabled

Sandboxed

Autonomy is limited by the capabilities of the CyberChef API and the defined recipes. CyberChef provides a sandboxed environment for recipe execution.

StatelessYes

Retry LogicNot documented

ConcurrencySingle-threaded

Production Tip

Monitor the CyberChef API server's resource usage to prevent performance bottlenecks when executing complex or batched recipes.

FAQ

What is the purpose of this MCP server?

It provides an interface for LLMs to access CyberChef's data manipulation and analysis capabilities.

How do I configure the CyberChef API URL?

Set the CYBERCHEF_API_URL environment variable to the URL of your CyberChef API instance.

What kind of operations can I perform with this server?

You can perform any operation supported by the CyberChef API, including encoding, decoding, encryption, decryption, and data transformation.

Is this server secure?

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.

Can I use this server to process large amounts of data?

Yes, but be mindful of the performance limitations of the CyberChef API and the available resources. Consider using batch processing for improved throughput.

What happens if the CyberChef API is unavailable?

The MCP server will return an error, and the client will need to handle the error appropriately.

Does this server support authentication?

Authentication is handled by the CyberChef API itself. The MCP server simply passes requests to the API.

Key Features

Development Data & Databases Productivity AI & LLM Search & Web Utilities

Metrics

Discovered2/14/2026

Reviews0

Saved By0 users

Cyberchef API

Overview

Connections & Capabilities

Connects To

Capabilities

Client Compatibility

Quickstart

Claude Desktop Config

Environment Variables

Tools (5)

Security

Safety Score

Positive

Risks

Use Cases

Data Decoding

Security Analysis

Data Transformation

Forensic Analysis

Who Is This For?

Best For

Not Ideal For

Autonomy & Execution

FAQ

What is the purpose of this MCP server?

How do I configure the CyberChef API URL?

What kind of operations can I perform with this server?

Is this server secure?

Can I use this server to process large amounts of data?

What happens if the CyberChef API is unavailable?

Does this server support authentication?

Key Features

Metrics

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