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Oto connector library — API clients for AI agents (no CLI). Façade CLI = oto-cli.

Project description

oto-core

Connector library for Oto — pure Python API clients for AI agents and automation. No CLI, no server: clients return plain dicts.

pip install oto-core              # core (requests, france-opendata)
pip install "oto-core[google]"    # + Google Workspace (Drive, Docs, Sheets, Gmail, Calendar, Tasks)
pip install "oto-core[browser]"   # + browser-based scraping (LinkedIn, via o-browser)
pip install "oto-core[stock]"     # + SIRENE stock queries (DuckDB/parquet)

What's inside

  • oto.tools.* — one client per service: French company data (SIRENE, INPI, BODACC, BOAMP, DVF via france-opendata), web search (Serper), email finding (Hunter), CRM (Attio, Folk), outreach (Lemlist, Kaspr, Fullenrich), Google Workspace, Slack, WhatsApp, Reddit, Pennylane, and more.
  • oto.config — three-tier secret resolution: environment variables → secret provider (SOPS/age, file, Scaleway Secret Manager) → defaults.

Ecosystem

Package Role
oto-core (this) the clients — single source of truth
oto-cli oto command-line façade
oto-backend hosted platform (mcp.oto.ninja — MCP + REST, credential vault, orgs)
from oto.tools.sirene import SireneClient

client = SireneClient()          # reads SIRENE_API_KEY via oto.config
company = client.get_company("130025265")

Conventions: clients are import-lazy per optional dependency, raise on error (no silent fallbacks), and stay free of CLI/printing concerns.

MIT — © Otomata.

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