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AIRO

MCP connector

AIRO exposes its optimization workflow to AI assistants through the Model Context Protocol. The assistant is the interface; the AIRO engine does the work, and your spreadsheet is never sent to the assistant.

Connect

Server URL (Streamable HTTP)
https://ai-route-optimization.com/mcp
  • Claude: Settings, Connectors, Add custom connector, paste the URL.
  • ChatGPT: create a connector in developer mode where available, paste the URL, choose OAuth.
  • Sign in to your account on the page that opens and approve the access.

Authentication

  • OAuth 2.1 authorization code with PKCE (S256), dynamic client registration and refresh token rotation.
  • Discovery documents: /.well-known/oauth-protected-resource and /.well-known/oauth-authorization-server.
  • Scopes mirror portal permissions and can never exceed your role. API keys also work as bearer tokens.

Tools

ToolWhat it does
create_importStart an import; returns import_id and a short-lived upload URL
list_importsFind a file uploaded in the web app
validate_importColumns, mapping, counts, grouped issues and a 3-row preview
update_import_mappingSet the column mapping and re-validate
create_optimization_jobLaunch an optimization (idempotency_key required)
get_job_statusStatus, progress and ETA
get_optimization_resultKPIs, per-vehicle summary, unassigned, map and export links
compare_scenariosBaseline versus optimized: distance, duration, vehicles
export_resultExcel or CSV with a signed link

Safety and limits

  • The assistant receives compact summaries (counts, grouped issues, per-vehicle totals), not your spreadsheet or full address lists.
  • Per-minute limits per token, company and IP, a daily company quota, 256 KB request size and the same job limits as the portal.
  • Every call is logged (tool, outcome, duration) and mutations are in the audit log. Arguments are never logged.
  • Disconnect an assistant or revoke a key at any time in Connect AI.

Building automation instead of a chat workflow? Use the REST API: same engine, same billing, JSON in and out.