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  1. Home
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  3. Cyberchef API MCP Server
Cyberchef API MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 3:00:52 PM

Cyberchef API MCP Server

User RatingsBe the first to rate and review this MCP server!
View Repository44 GitHub StarsTotal stargazers on GitHub for the source repository (44 stars).
securitydata-transformationcyberchefmcp

MCP server enabling LLM clients to access CyberChef operations via its API for data decoding and transformation.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for slouchd/cyberchef-api-mcp-server, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ”’ More in Security

Overview

This MCP server connects to a CyberChef Server API, allowing any MCP-compatible LLM client to perform CyberChef operations programmatically. It supports retrieving operation categories, listing operations by category, executing recipes on single or batch inputs, and performing CyberChef's automatic decoding operation. Use this server when you want to integrate CyberChef's data transformation and decoding tools into an AI agent workflow.

Use cases

β€’Retrieve CyberChef operation categories for selection
β€’List operations within a specific CyberChef category
β€’Execute a CyberChef recipe on input data
β€’Batch process multiple inputs with a CyberChef recipe
β€’Automatically decode data using CyberChef's magic operation

Key features

β€’Fetch CyberChef operation categories
β€’Fetch operations by category
β€’Bake (execute) recipes on single inputs
β€’Batch bake recipes on multiple inputs
β€’Perform automatic data decoding with magic operation

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Cyberchef API MCP Server.

Extracted Tool Capabilities
Fetch CyberChef operation categories
Fetch operations by category
Bake (execute) recipes on single inputs
Batch bake recipes on multiple inputs
Perform automatic data decoding with magic operation

Documentation Overview

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 operations
  • get_cyberchef_operation_by_category: resource - gets list of Cyber Chef operations for a selected category
  • bake_recipe: tool - bake (execute) a recipe (a list of operations) in order to derive an outcome from the input data
  • batch_bake_recipe: tool - bake (execute) a recipe (a list of operations) in order to derive an outcome from a batch of input data
  • perform_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

πŸ“ Usage

Start the server using the default stdio transport and specifying an environment variable pointing to a CyberChef API

bash
CYBERCHEF_API_URL="your-cyberchef-api-url" uv run cyberchef_api_mcp_server

πŸ§‘β€πŸ’»Usage (Development)

Start the server and test it with the MCP inspector

bash
uv add "mcp[cli]"
mcp dev server.py

πŸ“š Client Configuration

The following commands will generate a client configuration file, the location will depend on your operating system

bash
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

config.json
{
 "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"
     }
   }
 }
}

πŸ” 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:

πŸ™‡ References

  • CyberChef
  • CyberChef Server
  • Model Context Protocol
  • FastMCP

πŸͺͺ License

MIT License

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
44
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Cyberchef API MCP Server

CYBERCHEF_API_URL must be set to the URL of a running CyberChef API instance.

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Technical Specs & Signals

CategoryπŸ”’Security
PricingFree
More technical detailsExpand β–Ύ
AuthNo auth required
LicenseMIT
ClientsClaude Desktop
Last updatedAug 9, 2026
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars44
GitHub Star CountTotal stargazers on GitHub representing community popularity (44 stars).
Last commit5mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 3, 2026
43Quality signal: Fair Β· 43/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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