# Traffic MCP Server

> Use this tool when you need to optimize routes and predict traffic conditions, as it provides traffic prediction and route optimization capabilities through a REST API interface, consuming traffic station data and outputting optimal routes and Speed Performance Index predictions. It solves problems related to traffic congestion and route planning, using LSTM models and Dijkstra's algorithm to generate accurate predictions and suggestions. Ideal for use in logistics, transportation, and urban planning contexts where real-time traffic data is crucial.

Canonical page: https://skillsregistry.net/skills/lucad-28-traffict-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/lucad-28-traffict-mcp-server

## Description

Provides traffic prediction and route optimization tools that consume a REST API to get traffic station data, predict Speed Performance Index using LSTM models, and suggest optimal routes between stations using Dijkstra's algorithm.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u75behfr86)
- **Repository:** <https://github.com/lucad-28/traffict-mcp-server>

## 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": "lucad-28-traffict-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucad-28-traffict-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucad-28-traffict-mcp-server/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