Route & Logistics Optimizer

Route & Logistics Optimizer

Daily routing for delivery fleets, field-service teams and sales territories: who goes where, in what order, in which vehicle. Solves VRP / TSP with time windows and capacities, assigns jobs with the Hungarian method, packs loads, and re-optimises when new orders land midday.

Registry name	ai.saifs/route-optimizer
Endpoint	https://route-optimizer-mcp.saifs.ai/mcp
Transport	Streamable HTTP (remote, nothing to install)
Auth	OAuth 2.1 — PKCE (S256) and dynamic client registration; your client opens a sign-in page on first use
Publisher	SAIFS AI

Install

VS Code / GitHub Copilot

Add to .vscode/mcp.json (workspace) or your user mcp.json:

{
  "servers": {
    "saifs-route-optimizer": {
      "type": "http",
      "url": "https://route-optimizer-mcp.saifs.ai/mcp"
    }
  }
}

Then start the server from the MCP view and sign in when prompted.

Claude (claude.ai, Desktop)

Settings → Connectors → Add custom connector, and paste:

https://route-optimizer-mcp.saifs.ai/mcp

Claude Code

claude mcp add --transport http saifs-route-optimizer https://route-optimizer-mcp.saifs.ai/mcp

Any other MCP client

Point it at https://route-optimizer-mcp.saifs.ai/mcp using the Streamable HTTP transport. The server returns 401 with a WWW-Authenticate: Bearer … resource_metadata=… challenge, so OAuth-aware clients sign in automatically.

Tools

Tool	What it does
optimize_routes	Per-vehicle ordered routes from stops, fleet and constraints (time windows, capacities, max shift length).
optimize_single_route	TSP for one vehicle or sales rep.
assign_jobs	Optimal worker→job assignment (Hungarian method) from a cost matrix.
pack_loads	Bin-packing load plans against vehicle capacities.
reoptimize_midday	Dynamic re-route from the current state plus new orders.
route_map	Map for a finished route.
explain_route	Cost breakdown, constraint bindings and savings versus a naive stop order.

Example prompts

• “Here are today’s 40 stops and 6 vans. Build routes that honour delivery windows.”
• “Assign these field jobs to technicians by skill and travel cost, then route each person.”
• “Three new orders just landed. Re-optimise from where the drivers are now.”

Support

• Website: https://saifs.ai
• Issues: https://github.com/Saify-Technologies/saifs-ai-mcps-docs/issues
• Privacy: https://saifs.ai/privacy_policy