Is io.github.marcorusc/NeKo safe to use?

io.github.marcorusc/NeKo 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.marcorusc/NeKo?

io.github.marcorusc/NeKo can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.marcorusc/NeKo?

io.github.marcorusc/NeKo is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

io.github.marcorusc/NeKo

MCP server for biological network construction and analysis using pathway databases

UnknownNot tested

Data

GitHub

15FNo CVEsunknown

Quick Install

{
  "mcpServers": {
    "io-github-marcorusc-neko": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Setup guide

No install config available. Check the server's README for setup instructions.

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Should you use this server?

MCP server for biological network construction and analysis using pathway databases

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

Is it maintained?

Commit history unknown.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

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Test This Server

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Score Breakdown

MCPpedia Score

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15F

Last scored 14h ago

How we score →

Security

2/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

○

Tool stability — First scan — baseline recorded

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

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Frequently Asked Questions

Is io.github.marcorusc/NeKo safe to use?: io.github.marcorusc/NeKo 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.marcorusc/NeKo?: io.github.marcorusc/NeKo can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.marcorusc/NeKo?: io.github.marcorusc/NeKo is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

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Discussion

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MCP Bio‑Modelling Servers

This repository centralizes Model Context Protocol (MCP) servers that wrap Python‑based mechanistic / systems biology modelling tools. Each subfolder contains a server.py entrypoint plus a README describing the specific tool interface.

Current servers (see their own READMEs & upstream docs):

Tool	Folder	Upstream Documentation	MCP Registry
MaBoSS	`MaBoSS/`	https://github.com/colomoto/pyMaBoSS	`io.github.marcorusc/MaBoSS`
NeKo	`NeKo/`	https://github.com/sysbio-curie/Neko	`io.github.marcorusc/NeKo`
PhysiCell (settings wrapper)	`PhysiCell/`	https://github.com/marcorusc/PhysiCell_Settings	`io.github.marcorusc/PhysiCell`

All servers are Python processes speaking MCP over stdio.

Installation

Option A — pip (recommended)

pip install mcp-biomodelling-servers

Then run any server directly:

mcp-neko-server
mcp-maboss-server
mcp-physicell-server

Option B — uvx (no install needed)

uvx --from mcp-biomodelling-servers mcp-neko-server
uvx --from mcp-biomodelling-servers mcp-maboss-server
uvx --from mcp-biomodelling-servers mcp-physicell-server

Option C — from source (Conda, full control)

Clone this repo and set up a Conda environment with all dependencies (see Environment Assumption below).

MCP Background

The Model Context Protocol standardizes how external tools expose tools and resources to AI assistants / IDEs. Spec & introduction: https://modelcontextprotocol.io/docs/getting-started/intro

Each server.py advertises modelling actions (e.g. run simulations, manage sessions) to any MCP‑aware client (e.g. VS Code with GitHub Copilot Chat MCP support).

Repository Layout

MaBoSS/    # MaBoSS MCP server (Boolean / stochastic models)
NeKo/      # NeKo MCP server
PhysiCell/ # PhysiCell settings / sessions MCP server
README.md

Consult the README within each tool folder for: purpose, required Python packages, and any model/data file expectations. Installation instructions for the modelling tools themselves live there (or in the upstream project links above) — they are intentionally not duplicated here.

Environment Assumption

All tools are Python‑based. Create (and manage) a single Conda environment that contains the dependencies for MaBoSS, NeKo, and PhysiCell. The exact creation commands are up to you (not prescribed here). Once created, note the absolute path to its Python interpreter (e.g. /home/you/miniforge3/envs/mcp_modelling/bin/python).

Configure in VS Code (GitHub Copilot Chat / MCP)

Open VS Code and ensure the Copilot Chat (or other MCP-capable) extension is installed.
Press Ctrl + Shift + P → "MCP: Open Configuration" (or edit ~/.config/Code/User/mcp.json directly).
Add entries for each server.

Simple setup (uvx / pip install)

If you installed via pip or want to use uvx, no paths are needed:

{
  "servers": {
    "neko": {
      "type": "stdio",
      "command": "uvx",
      "args": ["--from", "mcp-biomodelling-servers", "mcp-neko-server"]
    },
    "maboss": {
      "type": "stdio",
      "command": "uvx",
      "args": ["--from", "mcp-biomodelling-servers", "mcp-maboss-server"]
    },
    "physicell": {
      "type": "stdio",
      "command": "uvx",
      "args": ["--from", "mcp-biomodelling-servers", "mcp-physicell-server"]
    }
  }
}

Advanced setup (Conda environment, from source)

Use this if you need a custom Conda environment (e.g. for native MaBoSS bina

... View full README on GitHub