# mcp-coding

> Use this tool when you need to orchestrate local Large Language Models (LLMs) and manage filesystem operations, such as reading, writing, listing, and deleting files, via a Command-Line Interface (CLI) agent. It solves problems related to local LLM management and file system interactions, providing a seamless interface for automation and scripting tasks. The tool accepts CLI commands as input and outputs file system operation results, making it ideal for use cases requiring local LLM orchestration and file management.

Canonical page: https://skillsregistry.net/skills/cdemeo92-mcp-coding  
JSON: https://api.skillsregistry.net/v1/skills/cdemeo92-mcp-coding

## Description

Experimental MCP server for local LLM orchestration with filesystem tools (read, write, list, delete files) and a CLI agent that communicates via Ollama.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/er0irbsbea)
- **Repository:** <https://github.com/cdemeo92/mcp-coding>

## 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": "cdemeo92-mcp-coding"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cdemeo92-mcp-coding` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cdemeo92-mcp-coding/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