# editorconfig_mcp

> Use this tool when you need to standardize code formatting across projects, especially for AI-generated code, to ensure consistency and readability. It takes in files and .editorconfig rules as input and outputs formatted files, solving problems of inconsistent indentation, spacing, and syntax. Ideal for use in development environments where multiple contributors or AI tools are involved.

Canonical page: https://skillsregistry.net/skills/neilberkman-editorconfig-mcp  
JSON: https://api.skillsregistry.net/v1/skills/neilberkman-editorconfig-mcp

## Description

Formats files using .editorconfig rules to ensure consistent formatting, especially for AI-generated code.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ank3jpzg67)
- **Repository:** <https://github.com/neilberkman/editorconfig_mcp>

## 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": "neilberkman-editorconfig-mcp"
    }
  }
}
```

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