# jsmcp

> jsmcp — alesya-h-jsmcp. Use this tool when you need to enable Large Language Models (LLMs) to generate code that interacts with MCP servers, solving issues of automated code creation and integration with existing MCP infrastructure. It provides a server-based interface for LLMs to output code, which can be managed and version-controlled using git. Ideal for use cases requiring dynamic code generation and deployment in MCP environments.

Canonical page: https://skillsregistry.net/skills/alesya-h-jsmcp  
JSON: https://api.skillsregistry.net/v1/skills/alesya-h-jsmcp

## Description

MCP server allowing LLMs to write code interacting with MCP servers.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/alesya-h/jsmcp)

## 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": "alesya-h-jsmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alesya-h-jsmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alesya-h-jsmcp/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