MaBoSS Boolean Network Simulator
Wire Boolean network simulation and attractor analysis into your coding agent for systems-biology or computational research workflows.
Overview
MaBoSS is an MCP server for the Build phase that runs Boolean network simulation and attractor analysis via MaBoSS from your agent.
What is this MCP server?
- MaBoSS Boolean network simulation exposed as MCP tools
- Attractor analysis for regulatory and signaling network models
- Stdio transport via uvx from PyPI package mcp-biomodelling-servers
- Entry point mcp-maboss-server in the marcorusc biomodelling server repo
- Version 1.0.0 with MCP server schema 2025-12-11
- Server version 1.0.0
- Transport: stdio
- Package identifier: mcp-biomodelling-servers on PyPI
What problem does it solve?
Running MaBoSS attractor studies from an agent chat means fragile copy-paste of network files and CLI flags instead of structured tool calls.
Who is it for?
Indie builders or researchers productizing computational biology agents that need MaBoSS-backed Boolean models.
Skip if: General SaaS apps with no network biology; teams unwilling to install Python/uvx biomodelling packages.
What do I get? / Deliverables
Your agent can invoke MaBoSS simulation and analysis steps with consistent parameters and traceable outputs in the same session as your code.
- Agent-callable MaBoSS simulation and attractor analysis runs
- Stdio MCP configuration for biomodelling workflows
Recommended MCP Servers
Journey fit
MaBoSS is an MCP bridge to an external simulator—solo builders add it while assembling agent tooling and research integrations, not during launch or growth. Fits the integrations subphase because the value is connecting Claude/Cursor to MaBoSS over stdio, not building a product UI.
How it compares
Specialized biomodelling MCP integration, not a general spreadsheet or database server.
Common Questions / FAQ
Who is MaBoSS MCP for?
Developers and researchers using Claude Code or Cursor who model gene regulatory or signaling networks with MaBoSS and want those runs callable as MCP tools.
When should I use MaBoSS MCP?
Use it during build when you integrate simulation into an agent workflow—attractor searches, parameter sweeps, or reproducible network experiments—not for marketing or ops analytics.
How do I add MaBoSS to my agent?
Register a stdio MCP server with runtimeHint uvx, --from mcp-biomodelling-servers, and positional mcp-maboss-server per the server.json in the MaBoSS subfolder of mcp-biomodelling-servers.