MCP server for AI agents
HELIX ships a Model Context Protocol server so AI coding agents can discover, validate, and publish worlds as first-class tools.
HELIX expects most worlds to be built by AI agents. The MCP server (@helix/mcp) gives an agent
a structured, typed interface to the platform — discovery, validation, and publishing as callable
tools — instead of scraping a CLI's stdout.
Agent-native by design
Anything a human can do through the CLI, an agent can do through MCP. The two are deliberately at parity.
What it exposes
- Discovery — list available systems, abilities, templates, and package manifests so the agent builds on what already exists instead of reinventing it.
- Validation — check a world against the manifest schema and platform rules before publishing.
- Publishing — create builds and publish worlds.
- Docs — read these docs as structured Markdown (the same content behind
/llms.txt).
Connect it
Point your agent host at the server (example for a Claude/Cursor-style MCP config):
{
"mcpServers": {
"helix": {
"command": "npx",
"args": ["-y", "@helix/mcp"]
}
}
}Why agents like these docs
These docs are built to be machine-readable from day one:
- Every page is available as clean Markdown (the Copy Markdown button, and content routes).
/llms.txtis a structured index of the whole site./llms-full.txtis the entire corpus in one file for context windows.- Every parameter and error is typed and described — what's obvious to a human reader is spelled out for an LLM.
Together with the MCP server, an agent can read the docs, scaffold a world, validate it, and publish it without a human in the loop.