oto-cli 1.4.0

CLI toolkit for AI agents — covers the long tail of SaaS APIs that don't have a CLI

oto — CLI toolkit for AI agents

Your LLM already uses gh for GitHub, aws for AWS, gcloud for GCP. oto covers the long tail — the SaaS products that don't have a CLI.

Each connector ships with a SKILL.md — an instruction manual that teaches your AI agent how to use it. Run oto skills enable --all and your Claude Code / Cursor / Aider gets instant context on 15+ APIs.

Why CLI over MCP?

	CLI	MCP
Token cost	~80 tokens (prompt + --help)	4-32x more (full schema in context)
Reliability	100%	~72% (source)
Setup	pipx install oto-cli	Server + transport + config
Composability	Pipes: oto sirene search "fintech" | jq '.[]'	None
Works with	Every LLM, every framework	MCP-compatible clients only

Installation

# Standalone CLI
pipx install oto-cli

# With specific connectors
pipx install "oto-cli[google,browser]"

# All connectors
pipx install "oto-cli[all]"

# Development
git clone https://github.com/otomata-tech/oto-cli.git
cd oto-cli && pip install -e ".[all]"

Connectors

Command	What it does	Extra
oto google	Gmail, Drive, Docs, Sheets, Slides, Calendar	google
oto browser	LinkedIn, Crunchbase, Pappers, Indeed, G2, Google	browser
oto notion	Search, pages, databases	—
oto sirene	French company data (INSEE SIRENE)	—
oto search	Web & news search (dispatches to Serper or browser)	—
oto serper	Direct Serper API (web, news, scrape, suggestions)	—
oto enrichment	Contact enrichment (Kaspr, Hunter, Lemlist)	—
oto pennylane	Accounting (Pennylane API)	—
oto anthropic	API usage & cost tracking	anthropic
oto whatsapp	Send & read WhatsApp messages	—
oto attio	Attio CRM (contacts, companies, deals, tasks)	—
oto folk	Folk CRM (contacts, companies, deals)	—
oto zoho	Zoho CRM (records, contacts, deals, notes)	—
oto zohodesk	Zoho Desk (tickets, threads, contacts, departments)	—
oto company	French company lookup (multi-source)	—
oto audio	Audio recording, transcription, summaries	—
oto gemini	Image generation via Gemini 3 Pro (text-to-image, editing)	—
oto openai	Image generation via gpt-image-2 (text-to-image, editing)	—
oto config	Configuration & secrets management	—

Connectors without an "Extra" only need requests (included in base install).

Quick start

# Configure secrets (file-based, default)
mkdir -p ~/.otomata
cat > ~/.otomata/secrets.env << 'EOF'
SERPER_API_KEY=xxx
NOTION_API_KEY=secret_xxx
SIRENE_API_KEY=xxx
EOF

# Or use Scaleway Secret Manager
oto config provider secrets scaleway

# Check config & secrets status
oto config

# Search the web (backend depends on config: serper or browser)
oto search web -q "AI agents 2026"

# Google OAuth setup (per account)
oto google auth myaccount
oto google gmail-search "from:bob" -a myaccount

# Browse LinkedIn
oto browser linkedin profile https://linkedin.com/in/someone

# French company data — INSEE SIRENE
oto sirene search "fintech"

# Enriched data via data.gouv recherche-entreprises (with --idcc filter by convention collective)
oto sirene entreprises --idcc 1285,3090 --naf 90.01Z --dept 75

Skills for AI agents

The killer feature: each connector comes with a SKILL.md that teaches your LLM how to use it.

# Enable all skills for Claude Code
oto skills enable --all

# Or pick specific ones
oto skills enable oto-google
oto skills enable oto-search

Once enabled, your AI agent sees these instructions in its context and knows exactly which oto commands to use, with what arguments, and what output to expect.

Create your own connector

A connector is 3 files:

oto/commands/myservice.py    # CLI commands (Typer app)
oto/tools/myservice/         # API client
skills/oto-myservice/SKILL.md  # LLM instructions

See docs/create-connector.md for the full guide.

How it works

Auto-discovery — cli.py scans commands/ at startup. Any Python file exporting a Typer app becomes a sub-command. No registry, no config. Drop a file, it appears in oto --help.

Three types of connectors (same CLI contract: JSON stdout, lazy imports, get_secret()):

• API — call REST APIs via requests. Each client handles auth/pagination/rate-limiting as the API requires. (notion, sirene, search, pennylane, folk...)
• Browser — automate a real browser for sites without an API. Async, require oto-cli[browser]. (linkedin, crunchbase, pappers, indeed, g2)
• SDK — use an official client library. Currently Google Workspace via google-api-python-client + OAuth2. Require oto-cli[google].

Secrets — provider-based resolution, configured via oto config provider secrets <file|scaleway>:

1. Environment variables (always, highest priority)
2. Configured provider: file (.otomata/secrets.env project → user) or Scaleway Secret Manager
3. Default value

Output contract — every command prints JSON to stdout, errors to stderr. Composable with jq, pipes, scripts.

Lazy imports — tool clients are imported inside functions, so the CLI starts fast regardless of how many connectors are installed.

See docs/concepts.md for the full architecture guide.

License

MIT