Is io.github.sailorpepe/undesirables-mcp-server safe to use?

io.github.sailorpepe/undesirables-mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.sailorpepe/undesirables-mcp-server?

io.github.sailorpepe/undesirables-mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.sailorpepe/undesirables-mcp-server?

io.github.sailorpepe/undesirables-mcp-server is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

io.github.sailorpepe/undesirables-mcp-server

35+ AI tools for TCG card grading, Monte Carlo pricing, 370K+ product search. BYOK.

0 tools GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Untested

Transport: stdio

0 tools

Grade F

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-sailorpepe-undesirables-mcp-server": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-sailorpepe-undesirables-mcp-server)](https://mcppedia.org/s/io-github-sailorpepe-undesirables-mcp-server)

Read me

What io.github.sailorpepe/undesirables-mcp-server does

35+ AI tools for TCG card grading, Monte Carlo pricing, 370K+ product search. BYOK.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

16/100across 5 weighted dimensions

How we score →

0255075100

−84

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.sailorpepe/undesirables-mcp-server safe to use?: io.github.sailorpepe/undesirables-mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.sailorpepe/undesirables-mcp-server?: io.github.sailorpepe/undesirables-mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.sailorpepe/undesirables-mcp-server?: io.github.sailorpepe/undesirables-mcp-server is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

Similar servers

Others in ai-ml

View all →

XcodeBuildMCP97

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

5.3k 2

Sequential Thinking MCP Server96

Dynamic problem-solving through sequential thought chains

84.5k 1

Arxiv Mcp Server96

A Model Context Protocol server for searching and analyzing arXiv papers

2.6k 4

Python Sdk95

The official Python SDK for Model Context Protocol servers and clients

22.8k 1

MCP Security Weekly

Get CVE alerts and security updates for io.github.sailorpepe/undesirables-mcp-server and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-sailorpepe-undesirables-mcp-server": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-sailorpepe-undesirables-mcp-server)](https://mcppedia.org/s/io-github-sailorpepe-undesirables-mcp-server)

Read me

What io.github.sailorpepe/undesirables-mcp-server does

35+ AI tools for TCG card grading, Monte Carlo pricing, 370K+ product search. BYOK.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

The Undesirables — MCP Server

Turn any Undesirable NFT into an MCP-compatible AI agent with 35+ local compute tools.

What's New in v1.1.0: Agent Economy (M2M)

This release introduces the Machine to Machine (M2M) Agent Economy — a cryptographic purchase bridge that allows autonomous AI agents to independently acquire an Undesirables NFT soul matrix and unlock all local compute engines without human intervention.

New Tools:

purchase_undesirables_license_key — Returns an unsigned EVM transaction payload (Ethereum Mainnet, chainId 1) for autonomous agents to mint directly from the Scatter.art contract
verify_soul_initialization — Verifies on chain purchase via public RPC and initializes the cryptographic soul matrix, unlocking all 10 compute engines

Full 35+ Tool Suite Includes:

🎴 Vision AI Card Grading (PSA/Beckett prediction via Qwen VL)
📊 Monte Carlo Price Simulation (Heston/Merton/Kou stochastic models)
🎵 AI Music Generation (ACE Step on Apple Silicon)
🎬 Video Clipping and Beat Sync Editing (FFmpeg)
🖼️ Local Image Generation (MLX Flux on Mac, DirectML on Windows, CUDA on Linux)
🗣️ Text to Speech Voice Engine (Kokoro TTS)
🧠 Persistent RAG Memory Graphs (CRM node mapping)
🔍 Zero Token Web Search (DuckDuckGo)
🔒 SAST Code Security Auditing
📈 Financial Analytics Oracle (TCGCSV + eBay depth analysis)

Quick Install via pip

pip install undesirables-mcp-server

🛑 Prerequisites (Read Carefully)

If you've never used Python or run AI Models locally, you must do this first:

Download Python (Version 3.10 or higher).
Download Ollama. CRITICAL: You cannot just download the app and leave it in your downloads folder. You must double-click the Ollama app to physically run it. You should see a little llama icon in your Mac menu bar or Windows system tray for this server to work.

🛠️ Step 1: Install & Clone

First, open your Terminal or Command Prompt and clone this repository. After cloning, you must activate a "Virtual Environment" (a sandbox folder just for this codebase).

🍎 On Mac / Linux

git clone https://gitlab.com/meme-merchants/undesirables-mcp-server.git
cd undesirables-mcp-server
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

🪟 On Windows

git clone https://gitlab.com/meme-merchants/undesirables-mcp-server.git
cd undesirables-mcp-server
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt

🚀 Step 2: Boot The Server

Every single time you want to run this server later, you must open your terminal and make sure your Virtual Environment is activated (venv) first!

If you already downloaded your Soul Workspace from the website:

# Make sure to point to your EXACT soul folder path
python server.py --workspace "/Users/username/Desktop/soul_folder/0420"

🔌 Step 3: Connect Your Chat Front-End

The MCP Server doesn't have a chat window; it runs invisibly in the background of your terminal! To actually talk to your agent, you must connect it to a desktop application like Claude or Cursor.

Claude Desktop Connection

Open the Claude Desktop application on your computer.
Go to Settings > Developer > Edit Config.
Paste this into your config file, making absolutely sure you replace the cwd (Current Worki

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

16/100across 5 weighted dimensions

How we score →

0255075100

−84

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.sailorpepe/undesirables-mcp-server safe to use?: io.github.sailorpepe/undesirables-mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.sailorpepe/undesirables-mcp-server?: io.github.sailorpepe/undesirables-mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.sailorpepe/undesirables-mcp-server?: io.github.sailorpepe/undesirables-mcp-server is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.