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Use with AI

Sympheny is built to be driven by AI assistants and coding agents. This section covers the ways to connect Sympheny to an AI tool.

MCP server

The Sympheny MCP server lets an AI assistant call the Sympheny API directly — creating scenarios, running solver jobs, and reading results — over a standard Model Context Protocol connection.

Coming soon

The MCP server has not been released yet. See MCP server setup for the configuration you will use once it ships.

Until then, drive Sympheny programmatically with the REST API or the Python SDK — both are agent-friendly and fully documented on this site.

Machine-readable docs

This site publishes two machine-readable indexes, served from the site root and regenerated on every build:

  • llms.txt — a compact, nav-ordered index of every page with a one-line description.
  • llms-full.txt — the full documentation concatenated in reading order, for tools that want the whole corpus in a single fetch.

Both follow the llms.txt convention.