# Diff & Patch Calculator MCP

> Diff & Patch Calculator MCP compares text blocks to find exact changes, creates unified patches, and measures content similarity. It handles both line-level and word-level differences, making it a precise tool for developers, documentation writers, and any professional working with versioning or text mutations-based workflows.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_JAmGMP096mY9qEAuGvrs79gctCBbxdWXwZr3xlyo/mcp
- **Tags:** diff, patch, text-comparison, myers-algorithm, git-format

## Description

If you're tired of manually scanning through long documents or code files to find exactly what changed between two versions, this MCP provides the precision your agent can use. Instead of guessing if a paragraph was slightly altered, your AI client can see every added line or word mutation with mathematical certainty. It uses the Myers algorithm to pinpoint structural changes. You can even have your agent generate a unified patch and apply it to a base text block, essentially automating the process of updating files based on specific instructions. Whether you're checking for content overlap in documentation or tracking fine-grained edits in configuration files, this tool makes text comparison part of your automated workflow. It works seamlessly through the Vinkius catalog, so once you connect your preferred client, you have immediate access to these precise calculation utilities.

## Tools

### analyze_word_changes
Finds specific word mutations within a single line of text. It helps you see exactly which tokens were added or removed.

### apply_patch_operation
Transforms a base text block by applying a provided unified diff patch. This allows your agent to update files automatically.

### evaluate_similarity
Provides a high-level similarity metric between two blocks of text. It's useful for detecting content overlap or near-duplicates.

### generate_line_diff
Creates a unified diff format showing added and removed lines. This is perfect for tracking structural changes in files.

## Prompt Examples

**Prompt:** 
```
Compare these two lines and tell me what changed: 'Hello world' and 'Hello brave new world'.
```

**Response:** 
```
The words 'brave' and 'new' were added to the line.
```

**Prompt:** 
```
Generate a line diff between 'Line 1
Line 2' and 'Line 1
Line 2
Line 3'.
```

**Response:** 
```
The unified diff shows one line added: '+Line 3'.
```

**Prompt:** 
```
How similar are 'Apple' and 'Apple Inc.'?
```

**Response:** 
```
The similarity percentage is approximately 50%.
```

## Capabilities

### Identify line changes
Find exactly which lines were added or removed between two text blocks.

### Detect word mutations
Spot fine-grained changes within a single line of text.

### Apply text patches
Update an existing block of text by transforming it using a provided patch.

### Measure content similarity
Calculate a percentage-based metric to see how much two pieces of text overlap.

### Generate unified diffs
Create standard, readable formats for tracking structural changes.

## Benefits

- Stop squinting at large files; use generate_line_diff to see structural changes clearly.
- Catch tiny errors in configuration strings with analyze_word_changes.
- Reduce manual update errors by using apply_patch_operation to transform text automatically.
- Quantify how much your documentation overlaps with other versions using evaluate_similarity.
- Speed up code reviews and content audits by letting your agent handle the heavy lifting of diffing.

## How It Works

The bottom line is you get mathematical precision for text-based versioning through your AI agent.

1. Connect your AI client to the Diff & Patch Calculator MCP via Vinkius.
2. Provide two blocks of computing text or a patch file to your agent.
3. The MCP performs the comparison and returns the exact diffs, patches, or similarity scores.

## Frequently Asked Questions

**What algorithm does this server use for diffing?**
This server implements the Myers diff algorithm to find the shortest edit script for both line and word-level comparisons.

**Can I apply a patch to an existing text block?**
Yes, you can use the `apply_patch_operation` tool to take a target text and a unified diff patch to produce the updated version.

**How is similarity calculated?**
The `evaluate_similarity` tool calculates a percentage (0-100) representing the degree of content overlap between two text blocks.