# mbta-mpc-server

> Use this tool when you need to manage and control Model Predictive Control (MPC) systems, particularly for optimizing performance in complex systems. It solves problems related to predictive modeling, control, and optimization, providing a server-based interface for inputs such as system models and constraints, and outputs including optimal control strategies. Ideal for use in contexts where advanced control and optimization are required, such as industrial processes or transportation systems.

Canonical page: https://skillsregistry.net/skills/crdant-mbta-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/crdant-mbta-mcp-server

## Description

mbta-mpc-server

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bov2b9jw1k)
- **Repository:** <https://github.com/crdant/mbta-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": "crdant-mbta-mcp-server"
    }
  }
}
```

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

---
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