# camlkit

> camlkit — glyh-camlkit. Use this tool when you need to interactively develop and debug OCaml code with live toplevels, or provide AI agents with a dynamic OCaml environment for evaluation and navigation. It solves problems of iterative coding, debugging, and testing by offering features like breakpoints, watches, and hot-swapping. The camlkit tool accepts OCaml code as input and provides outputs like evaluation results, debug information, and navigation data.

Canonical page: https://skillsregistry.net/skills/glyh-camlkit  
JSON: https://api.skillsregistry.net/v1/skills/glyh-camlkit

## Description

MCP server in OCaml that gives AI agents live OCaml toplevels: eval, breakpoints, watches, hot-swapping, and merlin-backed navigation

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/glyh/camlkit)

## 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": "glyh-camlkit"
    }
  }
}
```

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