# Character Appearance Counter AI Agent Connect

> Character Appearance Counter tracks how often specific characters show up in your text. It intelligently groups name variants like 'Sherlock' and 'Holmes' so your counts stay accurate. Your AI client can use this to map out character arcs, check narrative balance, or audit character presence across specific chapters or an entire book.

## Overview
- **Category:** text-processing
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_kn0N7eVsIrPeaUxiCIKak65HxGwsuW6Fl0oMdqtT/ai-agent-connect
- **Tags:** literature, character-tracking, text-analysis, counting, narrative

## Description

If you are analyzing a manuscript, you need to know exactly how much screen time a character gets. This MCP handles the tedious work of counting character mentions. It solves the common problem of name variations by treating different versions of a name as a single entity, ensuring your data isn't split between 'John' and 'Mr. Smith.' 

You can use it to dig into specific chapters or pull totals for an entire book. It is built for anyone who needs to quantify character presence to understand pacing or narrative weight. Instead of manually searching through text, you just ask your AI client to run the numbers. It provides a clear breakdown of how characters move through your story, making it easier to spot if a character has disappeared or if a subplot is getting too much attention.

## Tools

### get_chapter_summary
This tool provides a full breakdown of character presence across your chapters.

### get_aggregate_totals
Use this to calculate the total number of times characters appear throughout the entire book.

### get_chapter_counts
This tool counts how many times specific character names appear within a single chapter.

### verify_name_integrity
This tool checks if your list of name variants is ready for accurate processing.

## Prompt Examples

**Prompt:** 
```
How many times does Sherlock Holmes appear in this chapter text: 'Sherlock walked into the room. Holmes looked around.'?
```

**Response:** 
```
Sherlock Holmes appears 2 times in this chapter.
```

**Prompt:** 
```
Give me a summary of character presence for these chapter counts: [{'chapterId': '1', 'count': 5}, {'chapterId': '2', 'count': 3}]
```

**Response:** 
```
Chapter 1: 5 appearances, Chapter 2: 3 appearances. Total: 8 appearances.
```

**Prompt:** 
```
What is the total count for these chapter counts: [10, 20, 15]?
```

**Response:** 
```
The total count is 45.
```

## Capabilities

### Name Variant Grouping
The AI treats different versions of a name as one person for accurate counting.

### Chapter Level Analysis
Your agent can isolate character presence within specific sections of a text.

### Full Book Totals
The AI calculates the sum of all character appearances across the whole work.

### Data Integrity Checks
The tool validates name lists to ensure the counting process works correctly.

## Use Cases

### Pacing Audits
Check if a protagonist's presence drops too low during a specific subplot.

### Character Arc Mapping
Track how character mentions change from the beginning to the end of a book.

### Consistency Checks
Verify that name variants are being handled correctly across the text.

### Narrative Balance
Compare the total appearances of different characters to ensure even distribution.

## Benefits

- Groups name variants automatically to prevent split counts.
- Provides chapter-by-chapter breakdowns for granular analysis.
- Calculates book-wide totals without manual tallying.
- Validates name lists to ensure data accuracy.

## How It Works

You connect the MCP to your AI client and start asking questions about your text.

1. Connect the MCP to your preferred client like Claude or Cursor.
2. Provide the text or chapter data to your AI agent.
3. Ask the agent to count character appearances or summarize presence.
4. The agent uses the tools to process the names and counts.
5. Receive a direct answer or a detailed breakdown of the data.

## Frequently Asked Questions

**How does this MCP handle different names for the same person?**
It uses name variant grouping to treat different versions of a name as a single entity, which keeps your counts accurate.

**Can I use this with Claude or Cursor?**
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

**Does it work for a single chapter or a whole book?**
It does both. You can get counts for specific chapters or aggregate totals for the entire book.

**What if my character names are inconsistent?**
You can use the verify_name_integrity tool to check if your name variants are suitable for processing.

**Do I need to host this myself?**
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

**How does the tool handle different names for the same character?**
You can provide a list of name variants using `get_chapter_counts`. The tool will sum the occurrences of all provided variants to give you a single total for that character.

**Can I get a summary of character presence across the whole book?**
Yes, use `get_chapter_summary` to receive a detailed breakdown of counts per chapter and the overall total.

**What should I do if my character names have extra spaces?**
You can use `verify_name_integrity` to validate and sanitize your list of name variants before performing counts.