Systems Modeling
Systems-MCP is a server implementation that enables AI assistants to interact with the systems modeling library created by Will Larson. It provides two key tools: one for running systems models based on specifications and another for loading documentation to help generate better models. Built with Python 3.13 and the FastMCP framework, it's designed to work locally with Claude Desktop, allowing users to model complex systems, visualize their behavior over time, and generate specifications for new models without requiring deep knowledge of the underlying library. The implementation is particularly valuable for those interested in systems thinking who want to quickly prototype and analyze system dynamics without leaving their AI assistant conversation.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- file-system
- Source
- PulseMCP
- Repository
- github.com/lethain/systems-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Systems Modeling from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.