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Spree Commerce developer docs for AI agents

Spree Commerce developer docs for AI agents

Remote
spreecommerce.orgOther15.8kUpdated today

About Spree Commerce developer docs for AI agents

Documentation for developers and coding agents building headless B2B and marketplace ecommerce with Spree Commerce APIs. The docs use Mintlify and can be run locally.

Key features

  1. 01Spree Commerce API documentation
  2. 02Guidance for coding agents
  3. 03Mintlify documentation build
  4. 04Local preview support

Use cases

  1. 01Look up Spree Commerce APIs
  2. 02Reference docs during ecommerce development

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://spreecommerce.org/docs/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Spree Commerce Documentation project

This directory contains the documentation for Spree Commerce located at https://spreecommerce.org/docs.

Contributing

We welcome contributions to the documentation! We use Mintlify to build the documentation.

To run the documentation locally, you will need to install the Mintlify CLI.

Important

Mintlify requires Node.js version 20+ to run.

npm i -g mint

Then you can run the documentation locally. From the repository root:

pnpm docs:dev

This serves the documentation at http://localhost:3333.

The port is pinned deliberately. Running mint dev on its own picks port 3000 and silently moves to 3001, 3002 and so on when that is taken — which, in a checkout that also runs a Rails server and a dashboard, means the docs land somewhere different each time. If you do run mint dev directly, pass the port yourself:

cd docs && mint dev --port 3333

License

Documentation located in this directory is licensed under the CC BY 4.0 license.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.