Koskamo

LoadOptimizer MCP

The LoadOptimizer MCP server enables AI assistants to plan truck, container, and pallet loads using the user's existing LoadOptimizer account data, including carriers, products, and stacking rules. It supports checking requests, planning loads, managing libraries, handling stacking rules, saving loads, and sharing 3D views, working with assistants like Claude, ChatGPT, and Cursor.

Visit LoadOptimizer

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

LoadOptimizer MCP logo, by LoadOptimizerVendor evidenceStreamable HTTPOAuth sign-inEndpoint checked 2026-11-07Operated by LoadOptimizer
You need:It works on plans with API accessevery new account starts with 10 days of full Pro access, including the API
MCP endpoint (Streamable HTTP)
https://mcp.loadoptimizer.ai/mcp
Vendor documentation

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Passed Official MCP Registry namespace is tied to loadoptimizer.ai ·
  • Passed Endpoint is on the registry namespace domain ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Plan truck and container loads using natural language
  • Check which items fit or do not fit in a specific carrier
  • Manage libraries of carriers, products, and stacking rules
  • Save plans and generate shareable links to 3D views

Source and maintenance

Vendor evidenceRegistry 1.4.0
mcp-registry: ai.loadoptimizer/loadoptimizer@1.4.0Project website

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
689 ms
95th percentile latency
689 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 689 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http loadoptimizer-mcp https://mcp.loadoptimizer.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add loadoptimizer-mcp --url https://mcp.loadoptimizer.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable loadoptimizer-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "loadoptimizer-mcp": {
      "url": "https://mcp.loadoptimizer.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "loadoptimizer-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.loadoptimizer.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start loadoptimizer-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "loadoptimizer-mcp": {
      "type": "http",
      "url": "https://mcp.loadoptimizer.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http loadoptimizer-mcp https://mcp.loadoptimizer.ai/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://mcp.loadoptimizer.ai/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "loadoptimizer-mcp": {
      "serverUrl": "https://mcp.loadoptimizer.ai/mcp"
    }
  }
}

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