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Use with AI agents

AI agents can do in your workspace what you could do yourself, within the access you give them. They act as you, and the audit log records what they did. There are three ways to connect one, from least setup to most:

Your agent Use
Claude, ChatGPT or another app with MCP The MCP server. Nothing to install.
A coding agent with a terminal The command line, with --json.
Your own software The API or the SDK.

Add https://mcp.reminix.com/mcp as a remote MCP server in your agent. You sign in once in the browser and choose one workspace and what the agent may do there, and that’s all it can do. See MCP server for the details and safeguards.

Coding agents such as Claude Code, Cursor and Codex work well with the command line:

Terminal window
npm install -g @reminix/cli
reminix login # you approve it in the browser
reminix workspace list --json
reminix workspace webhook-endpoints list --workspace acme --json

With --json, the agent gets the API’s exact JSON, errors as JSON on stderr, and an exit code of 0 or 1. In CI, or a sandbox without a browser, set REMINIX_TOKEN to a personal access token limited to what the agent needs.

The agent skill is one file that teaches an agent everything on this page: how to sign in, choose the workspace, every command and operation, the error codes, and what to leave to a person. It’s at /docs/skill/SKILL.md, and it’s generated from the API, so it always matches.

To install it for every project in Claude Code:

Terminal window
mkdir -p ~/.claude/skills/reminix
curl -fsSL https://reminix.com/docs/skill/SKILL.md \
-o ~/.claude/skills/reminix/SKILL.md

Or put it in a project’s .claude/skills/reminix/. Other agents that support skills take the same file in their own skills folder.

The documentation is also available as plain text: /docs/llms.txt indexes every page, and /docs/llms-full.txt has everything in one file. The site’s /llms.txt points to these, the API, the MCP server and the skill.

Some operations stay with people, even when an agent has full access: anything that sends your workspace’s data somewhere new or gives out access, such as creating API keys or adding webhook endpoints. The agent asks instead, and you approve or deny (see Approvals). A secret created this way never reaches the agent.