# md.install/try

> Use this tool when you need to create step-by-step guides for coding agents to integrate your software, such as SDKs, libraries, or APIs, into their projects. It solves the problem of onboarding and setup by providing clear instructions, making it easier for agents to get started with your technology. The tool takes in software specifications and outputs customizable installation and usage guides.

Canonical page: https://skillsregistry.net/skills/md-install-try  
JSON: https://api.skillsregistry.net/v1/skills/md-install-try

## Description

Create guides to instruct coding agents to use your software (SDK, library, framework, API, etc).

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/md.install%2Ftry)

## Use it

MCP endpoint published by the skill: `https://install.md/mcp/try`

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": "md-install-try"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/md-install-try` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/md-install-try/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