Using these docs with AI
These docs are built to be consumed by AI coding assistants, not just humans. There are two ways to plug them in.
1. llms.txt (zero setup)
Every build publishes machine-readable bundles following the llmstxt.org standard:
| File | Contents |
|---|---|
/llms.txt | Index of every doc section with links |
/llms-full.txt | All documentation in one file |
/llms-pipelines.txt | Pipelines, validation, error handling |
/llms-outbox.txt | Events, outbox, observability |
Paste a URL into any assistant, or let tools that understand llms.txt fetch
them automatically. Pull a focused bundle when you only need one concern.
2. Context7 MCP (live, always current)
Context7 indexes these docs and serves them over MCP, so an assistant can query them on demand without you pasting anything.
Library ID: /UnambitiousFx/Synapse
Claude Code
claude mcp add --transport http context7 https://mcp.context7.com/mcp
Then ask: "use context7 — how do I register a pipeline behavior in Synapse?"
Cursor / VS Code
Add Context7 as an MCP server (https://mcp.context7.com/mcp) in your editor's
MCP settings, then reference the /UnambitiousFx/Synapse library in prompts.
Several unrelated projects are named "Synapse" on Context7. Always use the
fully-qualified ID /UnambitiousFx/Synapse to get these docs.