# File Encoding & BOM Normalizer MCP for AI Agents MCP

> File Encoding & BOM Normalizer MCP for cleaning up messy file encodings and line endings. It detects Byte Order Marks (BOM) and converts files to a standard UTF-8 LF format, preventing parser errors in your development pipeline.

## Overview
- **Category:** utilities
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_8mCtuetpyATsRZsjHR2rvFWrkZKV8uoaqpD7GeAD/mcp
- **Tags:** encoding, bom, utf8, normalization, line-endings, utf16

## Description

Dealing with weird characters at the start of a file or unexpected CRLF breaks in a Linux environment is a headache. This MCP lets you clean up those hidden encoding issues without manually opening every single file in an editor. You can check for specific byte signatures, see if line endings are consistent across your codebase, and even preview how much data will change before you commit to it. It's part of the Vinkius catalog, so you just connect it to your preferred client and start fixing files. Instead of guessing why a parser is failing, you can get a clean, standardized version of any file content immediately.

## Tools

### inspect_line_endings
Checks if a file uses consistent LF or CRLF sequences. It helps you find mixed line endings that break scripts.

### generate_normalized_payload
Produces the clean, normalized text content of a file. This version is stripped of BOM and converted to standard UTF-8 with LF.

### identify_encoding_bom
Detects exact byte signatures for UTF-8, UTF-16 LE, and UTF-16 BE. It finds hidden markers at the start of your files.

### preview_normalization_stats
Calculates exactly how many bytes would be removed during normalization. Use this to see the impact before applying changes.

## Prompt Examples

**Prompt:** 
```
Does this config file have any hidden BOM characters?
```

**Response:** 
```
I checked the file signature. It contains a UTF-8 BOM at the encoding start, which might cause issues with some parsers. I can generate a clean version for you if you'd like.
```

**Prompt:** 
```
Are my line endings consistent in this directory?
```

**Response:** 
```
The check shows a mix of CRLF and LF sequences:

| File | Ending |
| :--- | :--- |
| config.yaml | CRLF |
| script.sh | LF |

Would you like me to normalize them?
```

**Prompt:** 
```
How much space will I save if I strip the BOM from this large data file?
```

**Response:** 
```
The preview shows that removing the BOM and normalizing the encoding will remove exactly 4 bytes from the file. The impact is minimal, but it will ensure standard UTF-8 compatibility.
```

## Capabilities

### Detect byte signatures
Find out if a file uses UTF-8 or UTF-16.

### Audit line endings
Check for mixed LF and CRLF sequences in your files.

### Preview changes
See exactly how many bytes will be removed during normalization.

### Generate clean text
Get the final, normalized content stripped of all BOMs.

## Use Cases

### Fixing broken CI/CD pipelines
A developer notices a build failure on Linux due to CRLF endings and uses the MCP to audit the files.

### Cleaning up git diffs
An engineer finds why their pull request shows massive, unnecessary changes caused by encoding shifts.

### Preparing datasets for ML
A data scientist ensures all text files are strictly UTF-8 without BOM before training a model.

### Debugging parser errors
A backend dev finds out why a JSON parser is failing on certain input files by checking byte signatures.

## Benefits

- Stop parser errors by finding hidden characters that break scripts.
- Ensure every file uses LF with consistent line ending audits.
- See the impact of changes before you commit to them.
- Get standard UTF-8 text for reliable data ingestion.
- Remove BOMs across your entire project without manual editing.

## How It Works

The bottom line is you get consistent, standard files that won't break your parsers.

1. Point your agent to a file with suspicious encoding or line endings.
2. Run checks to identify the specific byte signature or newline format.
3. Generate the cleaned-up, standardized UTF-8 LF payload for use in your workflow.

## Frequently Asked Questions

**How can File Encoding & BOM Normalizer help with my Linux build errors?**
It identifies hidden CRLF characters that often cause script failures in Linux environments. You can use it to audit and fix your files for consistent LF usage.

**Can I check for UTF-16 encoding using File Encoding & BOM Normalizer?**
Yes, the tool detects byte signatures for UTF-8, UTF-16 LE, and UTF-16 BE. This helps you find files that aren't standard UTF-8.

**Will File Encoding & BOM Normalizer change my file content?**
It only changes the encoding and line endings to a standard format. It removes Byte Order Marks and converts everything to UTF-8 with LF line endings.

**Is it possible to see what will happen before I apply changes with File Encoding & BOM Normalizer?**
Absolutely. You can use the preview feature to see exactly how many bytes will be removed or changed during the normalization process.

**Does File Encoding & BOM Normalizer work for large datasets?**
Yes, it's designed to help you identify and normalize encodings across various file types, making it useful for preparing data for processing pipelines.

**What is a Byte Order Mark (BOM)?**
A BOM is a specific sequence of bytes at the beginning of a file that indicates how characters are encoded. Detecting and removing it is critical to prevent parser errors in many modern tools.

**How can I check for mixed line endings?**
You can use the `inspect_line_endings` tool to scan a file and determine if it uses LF, CRLF, or mixed line endings.

**Can I preview the changes before applying them?**
Yes, you can use `preview_normalization_stats` to see exactly how many bytes would be removed (such as BOM signatures or CRLF sequences) during the normalization process.