ELIZA CLI

Command-line interface for the ELIZA platform — for humans and AI agents.

New here? Check out the Quick Start Guide.

Installation

# From PyPI
pip install myeliza-cli

# Or with uv
uv tool install myeliza-cli

# Or from source
git clone https://gitlab.com/eliza.swiss/myeliza-cli.git
cd myeliza-cli && uv sync

Quick Start

# Configure an instance
myeliza auth login --instance example --url https://example.myeliza.ch/api --token YOUR_TOKEN --default

# Check connection
myeliza auth status

# List support tickets
myeliza issues list --tracker 2 --limit 10

# Get issue details
myeliza issues get 2530

# Add a followup
myeliza issues followup-add 2530 --comment "Fix deployed"

# List users
myeliza users list

# Add work time
myeliza time add --user 2 --date 2026-03-10 --start 08:00 --end 12:00

# List news streams
myeliza streams list

# Post a message to a stream
myeliza streams messages create --stream 1 --title "Update" --text "Deployed v2.0"

# List KPIs
myeliza kpi list

# Record a KPI measurement
myeliza kpi record 550e8400-e29b-41d4-a716-446655440000 --date 2026-03-10 --value 42

Output Formats

myeliza issues list -t 2 -l 5              # Rich table (default)
myeliza issues list -t 2 -l 5 -f json      # JSON (for scripting/agents)
myeliza issues list -t 2 -l 5 -f csv       # CSV

Dry Run

# Show the HTTP request without executing it
myeliza --dry-run issues list --tracker 2

Configuration

Config is stored in ~/.myeliza/config.yaml:

default: example
instances:
  example:
    url: https://example.myeliza.ch/api
    token: your-token-here
  iks2:
    url: https://iks2.myeliza.ch/api
    token: your-token-here

Environment Variables (backward compatible)

export ELIZA_EXAMPLE_URL=https://example.myeliza.ch/api
export ELIZA_EXAMPLE_TOKEN=your-token
export ELIZA_DEFAULT=example

AI Agent Integration

Bundled Skills (API Documentation)

The package includes 24 skill modules with detailed API documentation, examples and scripts. AI agents can discover them automatically:

# Find the skills directory
myeliza skills-path
# → /home/user/.local/lib/python3.12/site-packages/myeliza_cli/skills/

# Each skill contains a SKILL.md with:
# - API endpoints and fields
# - CLI examples
# - Python scripts for common tasks

Agent workflow:

1. pip install myeliza-cli — install the package
2. myeliza auth login ... — configure an ELIZA instance
3. myeliza skills-path — find the skill documentation
4. Read the relevant SKILL.md files — understand the API
5. Use myeliza commands or MCP tools — interact with ELIZA

MCP Server (Model Context Protocol)

The CLI includes a built-in Model Context Protocol server, allowing AI agents to interact with ELIZA directly.

With Claude Code

# Register ELIZA as MCP tool provider
claude mcp add myeliza -- myeliza mcp serve

# Now Claude Code can use ELIZA tools natively:
# "List the latest support tickets" → calls eliza_issues_list
# "Create an issue in tracker 2" → calls eliza_issues_create

With OpenClaw

Add to your OpenClaw config (openclaw.json):

{
  "mcp": {
    "servers": {
      "myeliza": {
        "command": "myeliza",
        "args": ["mcp", "serve"]
      }
    }
  }
}

Available MCP Tools (33)

All MCP responses are compact JSON optimized for LLM consumption — HTML stripped, base64 images removed, nested objects flattened.

Testing the MCP Server

# Start server manually (stdio)
myeliza mcp serve

# Test tools programmatically
python3 -c "
import asyncio
from myeliza_cli.mcp_server import call_tool
result = asyncio.run(call_tool('eliza_trackers_list', {}))
print(result[0].text)
"

Commands

Architecture

src/myeliza_cli/
├── main.py          # Typer app with subcommand groups + --dry-run
├── client.py        # REST API client (auto-pagination, multi-instance, dry-run)
├── config.py        # Config management (~/.myeliza/config.yaml + env vars)
├── output.py        # Formatters (Rich table, JSON, CSV)
├── mcp_server.py           # MCP server (stdio transport, 33 tools)
└── commands/
    ├── auth.py              # login, logout, status, instances
    ├── issues.py            # list, get, create, update, followups, trackers
    ├── users.py             # list, get, groups
    ├── time.py              # list, add, absences
    ├── dms.py               # documents, folders, document types
    ├── streams.py           # streams, messages, events
    ├── kpi.py               # KPIs, folders, measurements
    ├── processes.py         # processes, steps, labels, transitions
    ├── forms.py             # templates, folders, sections, questions
    ├── spaces.py            # spaces, boards, cards, comments, meetings
    ├── standards.py         # standards, categories, chapters
    ├── glossar.py           # glossary entries
    ├── organisation.py      # employees, org units, functions
    ├── contracts.py         # contracts, partners, cashflows
    ├── projects.py          # projects, tasks, milestones, phases
    ├── tutorials.py         # e-learning courses, lessons
    ├── okr.py               # objectives, key results & management reviews
    ├── swot.py              # SWOT measures, estimates, controls
    ├── dsg.py               # data protection (DSG/GDPR)
    ├── bot.py               # AI chat conversations
    ├── measuring.py         # measuring tools, calibration
    ├── resources.py         # resource inventory, allocations
    ├── businesscontext.py   # stakeholders, context issues
    └── ims.py               # integrated management system

License

MIT — ELIZA AG