What is algokiller-plugin?

algokiller-plugin is a Claude Desktop plugin and local MCP server for ARM64 trace evidence analysis and cipher algorithm recovery.

Is algokiller-plugin a hosted MCP server?

No. The repository describes a local plugin and MCP server workflow, so this listing uses stdio/local runtime assumptions.

What registry is used?

No package registry was verified in this run. The server is listed from its GitHub source repository.

It fits reverse engineers and security researchers who understand ARM64 traces, local tooling, and Claude Desktop MCP configuration.

algokiller-plugin

Name: algokiller-plugin
Author: icloudza

by icloudza

communitystdiogithub

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65stars|20forks

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Works withClaude DesktopCursorVS CodeWindsurf

About

Claude Desktop MCP plugin for ARM64 trace analysis and cipher algorithm recovery.

Features

Run local MCP-assisted trace evidence analysis from Claude Desktop
Search ARM64 trace data with the native ak_search engine described by the repository
Support cipher algorithm recovery and cryptanalysis research workflows
Connect reverse-engineering context to Claude skills and prompt-driven investigation
Keep analysis local instead of sending raw trace workflow state to a hosted tool by default

Use Cases

Reverse engineers

Use Claude Desktop and a local MCP server to investigate ARM64 traces and cipher behavior.

Security researchers

Search large trace evidence and connect findings to repeatable analysis prompts.

Cryptanalysis teams

Explore cipher algorithm recovery workflows with a source-visible plugin and local engine.

What This Server Can Do

MCP servers expose three types of capabilities to AI clients. Here's what algokiller-plugin supports.

Tools

Supported3 tools

Functions your AI client can call to perform actions — like querying a database, creating a file, or calling an API.

How to use: Tools run automatically when your AI client decides they're needed. Ask your AI assistant to perform a task, and it will invoke the right tool.

Resources

Not available

This server does not expose read-only data resources.

Prompts

Supported

Pre-built interaction templates this server provides — reusable workflows for common tasks so you don't have to write prompts from scratch.

How to use: Prompt templates appear as slash commands or suggestions in supported clients. They give the AI a structured starting point for the server's most common use cases.

For the full list of available tools, resources, and prompts, check the README on GitHub.

Available Tools (3)

ak_search

Search trace evidence using the native engine described by the repository.

trace_analysis

Analyze ARM64 trace evidence for reverse-engineering workflows.

cipher_recovery

Assist cipher algorithm recovery from trace evidence and analyst notes.

Frequently Asked Questions

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