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RailCall Docs

Reference documentation for the local-first governance runtime — every AI-driven action reviewed, signed, and auditable on your own machine.

Quickstart

Install the station on macOS or Linux. The installer drops the railcall CLI, Studio, and the MCP server under ~/.railcall/.

shell
curl -fsSL https://railcall.ai/install.sh | bash

# open the local Studio (loopback, session-gated)
railcall studio

# run the 30-second golden path — signed receipt, offline
railcall demo

Upgrade in place any time with railcall update. Confirm the current release with railcall version (this page is written against station-v0.59).

Sections

Reference

CLI Reference

Every railcall subcommand, grouped by category — build/audit/verify, market, license, connect, mcp, studio.

Guide

Studio Guide

Every tab of the local browser app at 127.0.0.1:8799 — Builder, Sends, Receipts, Modules, Licenses, and the rest.

Integration

MCP Integration

Wire Claude Desktop, Cursor, Windsurf, or Zed to the local RailCall MCP server, and see the tools an AI agent gets access to.

Developer

Marketplace Developer

Publish signed workflows and modules to the RailCall marketplace, and design AI agents that call them safely through MCP.

Source

Install Script + CLI

The install.sh installer and railcall_cli.py live on GitHub. Every SHA in the installer is pinned; drift is refused.