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SellerClaw CLI

PyPI Python CI Claude · MCP ready License: MIT

Run your stores, orders, listings, ads & suppliers from a terminal, scripts, or Claude — structured JSON in, structured JSON out.

Install · Quick start · Use from Claude (MCP) · Output contract · Troubleshooting


SellerClaw - A team of AI agents that runs your stores across channels | Product Hunt


sellerclaw-cli is the command-line client for the SellerClaw Agent API. It is designed to be driven either directly from a terminal or, more commonly, as a subprocess by automation and LLM agents. Every command:

  • returns structured JSON on stdout on success,
  • returns structured JSON on stderr on failure,
  • exits with a stable, categorical exit code,
  • reads credentials only from env / config file — never from argv.

The CLI ships a hand-curated set of typed command groups over the SellerClaw Agent API, with built-in discovery (groups / commands / describe / guide) so an agent can explore the surface without external docs. When no curated command fits a Shopify task, a raw Admin GraphQL query/mutation is reachable via sellerclaw shopify graphql.

Use it from Claude. The same CLI doubles as an MCP server, so Claude Desktop, Claude Code, Cursor or any Model Context Protocol client can drive SellerClaw natively — sign in once in your browser, no API key to copy. See MCP server for the Claude plugin, the one-line installer, the Claude Desktop extension (a drag-and-drop install that needs no Python and no CLI), and the skill.


Table of contents


Requirements

  • Python 3.11+ (3.11, 3.12, 3.13 are all tested in CI).
  • Linux, macOS, or Windows (POSIX file-permission handling applies only on Linux/macOS).
  • Network access to your SellerClaw Agent API endpoint.

Installation

Install from PyPI:

pip install sellerclaw-cli

or with uv:

uv pip install sellerclaw-cli
# or, to install as a tool you can run anywhere:
uv tool install sellerclaw-cli

Verify the install:

sellerclaw --version
# 0.1.0

The installed binary is sellerclaw (not sellerclaw-cli).

To also run the MCP server for Claude, install with the mcp extra — pip install 'sellerclaw-cli[mcp]' (or uv tool install 'sellerclaw-cli[mcp]'). See MCP server.

Quick start

# 1. Install
pip install sellerclaw-cli

# 2. Authenticate (opens a URL + code you confirm in a browser)
sellerclaw auth login

# 3. Call an endpoint
sellerclaw shopify-listings list <STORE_ID> --status active --limit 5

That's it. See below for details on configuration, other auth flows, and output conventions.


Configuration

The CLI needs two pieces of configuration:

  • api_url — base URL of the Agent API (default: https://api.sellerclaw.ai).
  • token — your personal sca_… agent token used for Authorization: Bearer … on every request.

Both can be supplied either via environment variables or via a config file.

Environment variables

Variable Purpose Default
SELLERCLAW_TOKEN Agent token (sca_…). Always sent as Authorization: Bearer <token>. (none)
SELLERCLAW_API_URL Base URL of the Agent API. https://api.sellerclaw.ai
XDG_CONFIG_HOME Base dir for the config file (standard XDG behavior). ~/.config

Example:

export SELLERCLAW_TOKEN="sca_abc123..."
export SELLERCLAW_API_URL="https://api.example.com"
sellerclaw auth whoami

Config file

The config file is a small TOML file stored at:

  • $XDG_CONFIG_HOME/sellerclaw/config.toml if XDG_CONFIG_HOME is set, otherwise
  • ~/.config/sellerclaw/config.toml.

Format:

api_url = "https://api.example.com"
token = "sca_abc123..."

Either key is optional. The file is created automatically by sellerclaw auth login / sellerclaw auth logout, with mode 0600 (owner read/write only) on POSIX systems.

You can also create or edit the file by hand:

mkdir -p ~/.config/sellerclaw
cat > ~/.config/sellerclaw/config.toml <<'EOF'
api_url = "https://api.example.com"
token   = "sca_abc123..."
EOF
chmod 600 ~/.config/sellerclaw/config.toml

Priority / resolution order

For each of api_url and token, the CLI picks the first non-empty source, resolved independently:

  1. Environment variable (SELLERCLAW_API_URL, SELLERCLAW_TOKEN).
  2. Key in config.toml (api_url, token).
  3. Built-in default (api_url = https://api.sellerclaw.ai; no default token).

This means you can, for example, keep api_url in the config file and inject the token only via env — handy for CI and container workflows:

# ~/.config/sellerclaw/config.toml has only api_url
SELLERCLAW_TOKEN="$CI_TOKEN" sellerclaw shopify-listings list "$STORE_ID"

Inspecting the current config

sellerclaw auth whoami
# {"data":{"authenticated":true,"api_url":"https://api.example.com","config_path":"/home/you/.config/sellerclaw/config.toml"}}

authenticated: true means a token is configured (it is not validated against the server — make any real call to verify).


Authentication

Device flow (recommended)

Best for interactive use on your own machine:

sellerclaw auth login

The CLI prints a URL and a short code to stderr (so it never pollutes a stdout pipeline):

Open https://sellerclaw.ai/activate
Enter the code: ABCD-1234
(waiting up to 600s, polling every 5s...)

Open the URL in a browser, paste the code, confirm. The CLI polls the API until the token is granted, then writes it to the config file. On success, stdout gets:

{"data":{"authenticated":true,"api_url":"https://api.sellerclaw.ai","config_path":"/home/you/.config/sellerclaw/config.toml"}}

Email + password

sellerclaw auth login --password
# Email: you@example.com
# Password: ********

When stdin is not a TTY (e.g. piped), supply two lines — email, then password:

printf '%s\n%s\n' "you@example.com" "$PASSWORD" \
  | sellerclaw auth login --password

Password is never echoed and never appears in argv or environment.

Manual token

If you already have an sca_… token (for example, provisioned by a backoffice tool), just put it into the config file or export the env var:

export SELLERCLAW_TOKEN="sca_abc123..."
# OR
echo 'token = "sca_abc123..."' >> ~/.config/sellerclaw/config.toml

Logging out

sellerclaw auth logout

Removes the token key from the config file. The api_url setting (and anything else in the file) is preserved.


Using the CLI

Command structure

sellerclaw [GLOBAL OPTIONS] <group> <command> [COMMAND ARGS]

Discover what's available:

sellerclaw --help                        # list top-level groups
sellerclaw <group> --help                # list commands in a group
sellerclaw <group> <command> --help      # show args + options for one command

Command groups

The CLI is organized into hand-curated top-level groups (channels, shopify-listings, ebay-listings, research-seo, orders, …), each with a small set of consistent verbs (list, get, create, update, delete, plus domain verbs like publish, sync, search). Path / parent ids are positional in path order; filters are flags:

# GET /agent/stores/{store_id}/listings?status=...&limit=...
sellerclaw shopify-listings list <STORE_ID> --status active --limit 10

# GET /agent/ebay/stores/{store_id}/listings/{listing_id}
sellerclaw ebay-listings get <STORE_ID> <LISTING_ID>

# POST /agent/research/seo/keyword-ideas
sellerclaw research-seo keyword-ideas --seed widgets

Use --help on any group or command to see its exact arguments.

Discovery

The discovery commands are driven by the live command registry (no external docs needed):

# One-shot onboarding: conventions, group list, how to call commands
sellerclaw guide

# Every group with a one-line summary and command count
sellerclaw groups

# Commands in a group (omit --group for all)
sellerclaw commands --group shopify-listings

# Full detail for one command: positionals, flags, body, example
sellerclaw describe shopify-listings create

When no curated command fits a Shopify task, run a raw Admin GraphQL operation with sellerclaw shopify graphql <STORE_ID> -b '{"query": "...", "variables": {...}}'.

Passing request bodies

Any command that takes a request body accepts --body (short: -b; --json-body is kept as a deprecated alias). It supports three sources:

# 1. Literal JSON on the command line
sellerclaw shopify-listings publish <STORE_ID> \
  --body '{"ids": ["l1", "l2"]}'

# 2. File
sellerclaw shopify-listings create <STORE_ID> \
  --body @./product.json

# 3. Stdin (use @- as the value)
cat product.json | sellerclaw shopify-listings create <STORE_ID> \
  --body @-

The body is validated as JSON locally before any network call; invalid JSON exits with a user_error (exit 1).

Output formats

--format is a global option (before the subcommand), defaulting to json:

Value Description
json (default) Compact, single-line JSON. Ideal for pipelines (jq, LLM tools, scripts).
pretty Indented JSON (2 spaces). Still valid JSON.
yaml YAML.
table ASCII table when the payload is a list of flat dicts; falls back to pretty JSON otherwise.
sellerclaw --format pretty stores list-listings <STORE_ID>
sellerclaw --format yaml   stores list-listings <STORE_ID>
sellerclaw --format table  stores list-listings <STORE_ID>

Errors are always compact JSON on stderr, regardless of --format. Downstream error parsers can rely on a single stable shape.


Output contract

Success shape

On exit code 0, stdout contains exactly one JSON value (plus a trailing newline):

{"data": <payload>}

<payload> is whatever the API returned for that endpoint — a single object, a list, a primitive, or null.

Error shape

On any non-zero exit, stderr contains exactly one JSON value:

{
  "error": {
    "code":    "auth_error",
    "message": "Unauthorized",
    "status":  401,
    "details": { /* optional, parsed from the API response body */ },
    "hint":    "Run `sellerclaw auth login` to authenticate."
  }
}

Field presence:

  • code and message — always present.
  • status — present when the error originated from an HTTP response.
  • details — present when the API returned a structured error body.
  • hint — present for auth_error (currently always points at sellerclaw auth login).

Exit codes

Code Meaning Typical triggers
0 Success any 2xx
1 User error invalid CLI args, invalid JSON body, 4xx (non-auth), unknown group/command
2 Server / network error 5xx after retries, connection refused, timeout
3 Auth error 401, 403, missing token

These are stable and categorical — scripts can switch on them without parsing stderr.

Retry behavior

The CLI transparently retries up to 3 attempts on these conditions:

  • HTTP status 429, 502, 503, 504
  • Transient transport errors: ConnectError, ReadError, WriteError, timeouts

Backoff between retries is exponential with a small jitter, capped at 10 seconds. When the server sends a Retry-After header (seconds), the CLI honors it exactly (no extra jitter on top). All other statuses and unknown httpx errors are returned immediately — no retries.

Requests time out after 30 seconds by default.


Using from scripts and LLM agents

The CLI was designed specifically to be wrapped as a subprocess. Conventions that make that robust:

  • Pure JSON on stdout. No progress bars, no log lines, no rich decoration leaking from stdout. Anything human-facing (login prompts, device-flow URL) is on stderr only.
  • Pure JSON on stderr on failure, with a stable shape.
  • Categorical exit codes. You can branch on returncode without touching stderr.
  • No credentials in argv. Even if you see a new CLI flag in the future, credentials will never be one of them. Pass them via env.
  • No interactive prompts in non-TTY mode. auth login --password reads from piped stdin; every other command just runs.

Minimal Python wrapper:

import json, os, subprocess

def run(*args, token=None, timeout=60):
    env = {**os.environ}
    if token:
        env["SELLERCLAW_TOKEN"] = token
    r = subprocess.run(
        ["sellerclaw", *args],
        env=env,
        capture_output=True,
        text=True,
        timeout=timeout,
    )
    if r.returncode == 0:
        return json.loads(r.stdout)["data"]

    err = json.loads(r.stderr)["error"]
    if r.returncode == 3:
        raise AuthError(err["message"])            # refresh token, retry
    if r.returncode == 2:
        raise TransientError(err["message"])       # safe to retry with backoff
    raise UserError(err["message"], details=err.get("details"))

stores = run("stores", "list-listings", store_id, "--status", "active", token=my_token)

Minimal shell wrapper:

if out=$(sellerclaw shopify-listings list "$STORE_ID" --status active 2>err.json); then
    echo "$out" | jq '.data'
else
    code=$?
    jq '.error' err.json
    case $code in
        3) echo "auth failed — refresh token" ;;
        2) echo "transient — retry later" ;;
        *) echo "fatal" ;;
    esac
    exit $code
fi

MCP server (for Claude and other MCP agents)

Beyond running as a subprocess, the CLI can expose itself over the Model Context Protocol so any MCP client — Claude Desktop, Claude Code, the Agent SDK, Cursor, … — can drive SellerClaw natively.

Rather than emit ~250 tools (one per command), the server mirrors the CLI's own discovery model with four thin tools the client composes at runtime:

  • sellerclaw_guide(topic) — a short task guide with ready-to-run calls (listings, orders, ads, research, analytics, plus start for the shared conventions);
  • sellerclaw_groups — list command groups and their commands;
  • sellerclaw_describe(group, command) — full schema: positionals, flags, body fields, plus a ready call_example;
  • sellerclaw_run(group, command, positionals, flags, body) — invoke a command.

New CLI commands appear automatically — there is nothing per-command to maintain.

The guides live in the package (sellerclaw_cli/guides/) and are the same text the Claude plugin ships as skills — make plugin compiles each one into its SKILL.md, so a recipe is written once and reaches both audiences. Clients that have no skills at all (the Claude Desktop extension, Cursor, the hosted connector) would otherwise have nothing but tool descriptions to work from.

Claude plugin (skills + hooks + MCP in one install)

For Claude Code and claude.ai the cleanest path is the SellerClaw plugin — one install brings the MCP server, the task skills (discover → describe → run, plus listings / orders / ads / research recipes), and a session-start primer hook together, from our marketplace:

/plugin marketplace add sellerai-com/sellerclaw-cli
/plugin install sellerclaw@sellerclaw

On claude.ai (web) the easiest path is Customize → Personal plugins → Add marketplace with sellerai-com/sellerclaw-cli. Prefer to upload by hand? Download the packaged web plugin and use Upload plugin instead:

https://github.com/sellerai-com/sellerclaw-cli/releases/download/plugin-latest/sellerclaw-claude-web.zip

Unzip it, then pick the sellerclaw folder in the Upload plugin dialog. Either way, sign in once with sellerclaw auth login so the three MCP tools can act on your account.

All variants are built from one source tree (plugin/) with make plugin. Claude Code runs the MCP locally via uvx; the Desktop extension and the web/cowork variant both talk to the hosted SellerClaw MCP server instead, so they need nothing installed on the machine.

One-line installer (CLI + Claude Code)

Installs uv + the CLI, signs you in via the browser, and wires the MCP server into Claude Code. Safe to re-run.

For Claude Desktop you don't need this at all — install the extension instead. The installer no longer writes a Desktop config entry, and removes one an older run left behind, so the extension's tools don't appear twice.

# macOS / Linux
curl -fsSL https://raw.githubusercontent.com/sellerai-com/sellerclaw-cli/main/scripts/install.sh | sh
# Windows (PowerShell)
irm https://raw.githubusercontent.com/sellerai-com/sellerclaw-cli/main/scripts/install.ps1 | iex

Then restart Claude Code. (Opt-out: SELLERCLAW_SKIP_LOGIN=1.)

Manual setup (three steps, no token to copy)

The MCP SDK is an optional extra (the base CLI never depends on it). uv tool install puts a sellerclaw command on your PATH without any virtualenv fuss:

# 1. Install
uv tool install 'sellerclaw-cli[mcp]'        # or: pipx install 'sellerclaw-cli[mcp]'

# 2. Sign in — opens a browser, no API token to find or paste
sellerclaw auth login

# 3. Tell your MCP client to launch it (see below)

Step 2 stores your credentials in ~/.config/sellerclaw/config.toml, and the MCP server reads the same config — so the MCP client never needs a token or any secret. (Check it any time with sellerclaw auth whoami, which prints the exact config file in use.)

Connect Claude

Both snippets launch the server with uvx … sellerclaw-cli[mcp]@latest, so it always runs the latest published version automatically — there is nothing to upgrade.

Claude Code (terminal) — one command, no secrets:

claude mcp add sellerclaw -- uvx --from 'sellerclaw-cli[mcp]@latest' sellerclaw mcp

Claude Desktop — add this to claude_desktop_config.json (Settings → Developer → Edit Config), then restart Claude:

{
  "mcpServers": {
    "sellerclaw": {
      "command": "uvx",
      "args": ["--from", "sellerclaw-cli[mcp]@latest", "sellerclaw", "mcp"]
    }
  }
}

That's the whole config — no env, no token. (If Claude Desktop can't find the uvx command, replace "command": "uvx" with its absolute path — which uvx / where uvx prints it — because the desktop app doesn't always inherit your shell's PATH.)

For headless / automation use where there is no browser to sign in, skip auth login and pass credentials by environment instead — add an "env": { "SELLERCLAW_TOKEN": "sca_…" } block, or export SELLERCLAW_TOKEN / SELLERCLAW_API_URL before launching.

The signed-in account grants the MCP client the same access the agent has. Server-gated actions (e.g. sending email or marketing campaigns) still require the owner's approval, but most read and management operations do not — only connect clients you trust, and sign in with a per-user account.

Claude Desktop Extension (.mcpb) — nothing to install first

For a click-to-install experience, download the latest bundle and drag it onto Claude Desktop → Settings → Extensions:

⬇ Download sellerclaw.mcpb

No Python, no uv, no CLI. The bundle is a small dependency-free Node script run by the Node runtime that ships inside Claude Desktop; it forwards MCP traffic to the hosted server at https://mcp.sellerclaw.ai/mcp. Because the tools, their schemas and every error text come from there, the extension is always current — nothing in it goes stale between releases.

Sign in from inside Claude: ask it to run the sellerclaw_login tool (it is the only tool the extension offers until you are authenticated). Your browser opens, you approve access, and the full SellerClaw surface appears — no restart, no token to paste. The credentials land in the same ~/.config/sellerclaw/config.toml the CLI uses, so a terminal sellerclaw auth login counts here too and vice versa. The extension's optional token field is only for headless setups.

To build the bundle yourself: make mcpb (produces dist/sellerclaw.mcpb); the source lives under plugin/targets/claude-desktop/.

Prefer no local process at all? The same hosted server can be added directly as a custom connector (Claude → Settings → Connectors → Add custom connector), which also covers Claude on the web and mobile. Create the connector credentials in SellerClaw → Settings → Connected apps.

Teach Claude to use it (skill)

A skill documents the setup and the full command surface so Claude drives SellerClaw correctly (discover → describe → run). It is just markdown — install it independently, no CLI required:

# macOS / Linux
curl -fsSL https://raw.githubusercontent.com/sellerai-com/sellerclaw-cli/main/scripts/install-skill.sh | sh
# Windows (PowerShell)
irm https://raw.githubusercontent.com/sellerai-com/sellerclaw-cli/main/scripts/install-skill.ps1 | iex

It downloads into ~/.claude/skills/sellerclaw (override with SKILLS_DIR=~/.cursor/skills). Or copy the folder yourself — the source is plugin/shared/skills/sellerclaw/. Restart Claude Code (or reload skills) afterward.

…or with npx skills (any agent)

If you use npx skills, install the setup skill straight from this repo — it teaches your agent how to install and connect SellerClaw, and works across Claude Code, Cursor, Codex and the other agents the tool supports:

npx skills add sellerai-com/sellerclaw-cli --skill sellerclaw-setup

The source lives in skills/sellerclaw-setup/. Drop --skill … to pick from everything the repo offers.


Agent identification

When the CLI is invoked from inside an LLM agent's workspace directory, it automatically attaches an X-Agent-Id header to every request so the server can attribute the call to the right agent. No flag, no env var, no caller-side wiring — the identifier is derived purely from the current working directory.

The CLI looks for a workspace-<id> segment in os.getcwd() and uses the last match. The id must match ^[A-Za-z0-9_-]+$ and be 1–64 characters; otherwise it is dropped silently and the header is not sent.

Example:

cwd /home/node/.openclaw/workspace-supervisor
  → X-Agent-Id: supervisor

cwd /home/node/.openclaw/workspace-product_scout/sub/dir
  → X-Agent-Id: product_scout

cwd /home/node                       (no workspace segment)
  → header omitted

The header is purely informational on the server side; requests without it work exactly the same. There is no override knob — by design, the id is whatever the cwd says it is.


Environment variables reference

Variable Read by Purpose
SELLERCLAW_TOKEN every command Agent token, sent as Authorization: Bearer <token>. Highest priority.
SELLERCLAW_API_URL every command Base URL of the Agent API. Overrides config file and default.
XDG_CONFIG_HOME auth *, whoami Base dir for the config file. Defaults to ~/.config.

Troubleshooting

{"error":{"code":"auth_error",…,"status":401,…}} / exit 3 No token found, or token is wrong / expired. Run sellerclaw auth login, or check sellerclaw auth whoami to see which sources are in play and what api_url the CLI is targeting.

{"error":{"code":"network_error",…}} / exit 2 Can't reach the API. Verify SELLERCLAW_API_URL / config api_url, DNS, firewall. The CLI already retries transient failures 3× with backoff — a persistent network_error usually indicates a misconfigured URL or blocked egress.

{"error":{"code":"server_error",…,"status":5xx}} / exit 2 API itself returned 5xx after the CLI retried. If it persists, the platform is having an incident; otherwise retry later.

{"error":{"code":"user_error","message":"unknown group: …"}} / unknown command … The group or command name doesn't exist in your installed version. Run sellerclaw groups, then sellerclaw commands --group <group> to see what's available; upgrade the package if the endpoint is newer.

{"error":{"code":"user_error",…}} on a missing positional argument A required path / parent id wasn't supplied. Run sellerclaw describe <group> <command> to see the positionals (in path order) and an example invocation.

sellerclaw: command not found after pip install The install directory isn't on PATH. On many systems pip install --user installs into ~/.local/bin; add that to PATH or use pipx install sellerclaw-cli / uv tool install sellerclaw-cli which handle it for you.

My config file keeps getting ignored Check sellerclaw auth whoami — the config_path it prints is the one it reads. Common causes: XDG_CONFIG_HOME pointing somewhere unexpected, or a typo in the TOML (it must be api_url and token, lowercase, at the top level).


Uninstall

pip uninstall sellerclaw-cli
# optional — remove config + token
rm -rf ~/.config/sellerclaw

Development

Command groups are hand-curated — see sellerclaw_cli/_command_group.py (declarative Cmd specs) and the modules under sellerclaw_cli/commands/. Discovery (groups / commands / describe / guide) is driven by the populated command registry, not an OpenAPI snapshot. When the API gains an endpoint, add or update the relevant group module.

From the repo root:

make cli-lint    # ruff + pyright
make cli-test    # unit tests (pytest + respx)
make cli-build   # build wheel + sdist

Releases are triggered by pushing a cli-X.Y.Z tag.


Part of the SellerClaw ecosystem · built by SellerAI
sellerclaw-agent · PyPI · Model Context Protocol

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