CLI toolkit for AI agents — covers the long tail of SaaS APIs that don't have a CLI
Project description
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.
The CLI is self-documenting via --help, so your AI agent discovers every connector on its own. For Claude Code, the oto plugin (otomata-tech/oto-plugin) bundles a universal skill + the Oto MCP connector.
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
For AI agents
The CLI is self-documenting — agents discover everything via --help:
oto --help # list namespaces
oto <namespace> --help # commands in a namespace
oto <namespace> <cmd> --help # arguments
For Claude Code, the oto plugin (otomata-tech/oto-plugin) bundles a single universal skill (entry-point doctrine) plus the Oto MCP connector — install it once instead of per-tool manuals.
Create your own connector
A connector is 2 files:
oto/commands/myservice.py # CLI commands (Typer app)
oto/tools/myservice/ # API client
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. Requireoto-cli[google].
Secrets — provider-based resolution, configured via oto config provider secrets <file|scaleway>:
- Environment variables (always, highest priority)
- Configured provider: file (
.otomata/secrets.envproject → user) or Scaleway Secret Manager - 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
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