# LIGHT MCP Server

> LIGHT MCP Server — teslasolar-light. Use this tool when you need to execute and manage photonic programs written in the LIGHT programming language, solving problems related to photonic programming and development. It provides core functionality for evaluating expressions, applying templates, and chaining pipes, with inputs including LIGHT programs and expressions, and outputs including execution results and opcode/runtime information. Ideal for use cases requiring photonic program execution, debugging, and optimization.

Canonical page: https://skillsregistry.net/skills/teslasolar-light  
JSON: https://api.skillsregistry.net/v1/skills/teslasolar-light

## Description

MCP server for the LIGHT photonic programming language. Enables executing light programs, evaluating expressions, applying parameterized templates, chaining pipes, and accessing opcode/runtime info.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j3s4i9gnh5)
- **Repository:** <https://github.com/teslasolar/light>

## 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": "teslasolar-light"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teslasolar-light` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teslasolar-light/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