# HCM-LLM MCP Server

> Use this tool when you need to perform complex transportation engineering calculations and semantic searches over Highway Capacity Manual (HCM) documentation. It solves problems related to two-lane highway analysis, providing specialized tools for Chapter 15 calculations following standard engineering methodologies. The server accepts input parameters and returns calculated results, enabling AI assistants to provide accurate and efficient transportation engineering solutions.

Canonical page: https://skillsregistry.net/skills/crosstraffic-highway-capacity-manual-mcp  
JSON: https://api.skillsregistry.net/v1/skills/crosstraffic-highway-capacity-manual-mcp

## Description

A FastAPI-based server that enables AI assistants to perform Highway Capacity Manual (HCM) transportation engineering calculations and semantic searches over HCM documentation. It provides specialized tools for complete Chapter 15 two-lane highway analysis following standard engineering methodologies.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t2arhsdv7i)
- **Repository:** <https://github.com/crosstraffic/highway-capacity-manual-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "crosstraffic-highway-capacity-manual-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crosstraffic-highway-capacity-manual-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crosstraffic-highway-capacity-manual-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt