# mcp-example

> mcp-example — lailo-mcp-example. Use this tool when you need to create a Model Predictive Control (MPC) server in Python, solving problems related to complex system optimization and control. It provides an example implementation with a straightforward interface, accepting model parameters as input and outputting optimized control signals. Ideal for use cases involving dynamic system control and optimization, such as robotics, process control, or autonomous systems.

Canonical page: https://skillsregistry.net/skills/lailo-mcp-example  
JSON: https://api.skillsregistry.net/v1/skills/lailo-mcp-example

## Description

An example of how to run a MPC server in Python

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/lailo/mcp-example)

## 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": "lailo-mcp-example"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lailo-mcp-example` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lailo-mcp-example/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