• ACCURACY
  • EFFICIENCY
  • AUTOMATION
  • HUMAN

How to chunk large documents with your AI

Connect this MCP once to give your agent the ability to measure text length. From there, you can split huge files into manageable pieces without guessing.

Ask AI about this page

Short answer

How can I chunk large documents with my AI?

Your agent uses token counts to find the exact spots to cut text so it stays within the context window. This prevents errors and keeps your data intact. You get a clear plan for how to feed your files to the model.

The results of precise chunking.

Where your data lands.

Once connected, your agent handles the math so you don't have to.

ACCURACY

No lost context

The agent uses token counts to find the exact boundaries of your text. You won't lose important information by cutting mid-sentence.

EFFICIENCY

Perfect window fit

Your agent calculates the size of every piece. This ensures every chunk is large enough to be useful but small enough to avoid context errors.

AUTOMATION

Hands-off splitting

Instead of manual cutting, your agent identifies the split points. It prepares the text for processing in one go.

HUMAN

Final review

The agent presents the chunking strategy to you. You decide if the split points make sense before sending the data to the model.

The workflow

What your AI does when the document arrives.

The agent moves from measuring the raw text to creating a structured plan for processing.

  1. Measure the text

    The agent looks at your raw document to see how many tokens it actually contains.

    count_tokens

  2. Calculate split points

    The agent uses the token count to figure out how many chunks are needed to stay under your limit.

    count_tokens

  3. Map the chunks

    The agent identifies the specific character ranges or sentence breaks for each new piece.

    count_tokens

  4. Verify the plan

    The agent double-checks the math to ensure no single chunk exceeds the target threshold.

    count_tokens

Try it

Copy these to start.

Use these prompts to trigger the chunking process immediately.

Starting points

These are opening lines. Swap the bracketed text for your actual file names or data.

GPT Tokenizer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_3TlaUrJfXkjzPylHQtgw7qX3SzCKmj8umGecyFc1/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — GPT Tokenizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-token-counter-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_3TlaUrJfXkjzPylHQtgw7qX3SzCKmj8umGecyFc1/mcp"
    }
  }
}
Copy into chat04

  • Count the tokens in my legal_contract.pdf and tell me how to split it.

  • Check the token count for this research_paper.txt and suggest 4 equal chunks.

  • How many tokens are in the transcript from yesterday's meeting?

  • Split this massive log_file.log into pieces that fit a 128k context window.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect AI Token Counter once, then ask.

Click the link to connect the MCP to your client. Your credentials stay encrypted and you can start using the tools immediately.

Connect AI Token Counter to your AI

FAQ

How this task behaves.

  • 01

    Can the AI split the files for me automatically?

    The agent uses the tool to calculate where the splits should happen, but you must give the command to proceed with the actual processing.

  • 02

    Does the tool change my original files?

    No. The tool only reads the text to count tokens. It cannot modify, delete, or overwrite your local files.

  • 03

    Can it count tokens for images too?

    No. This tool is specifically for text-based token counting.

  • 04

    Will it work with any model?

    It works with any MCP-compatible client. The agent will use the tool to get the count, regardless of which model you are chatting with.

  • 05

    Does it handle different tokenizers?

    The tool provides the count based on the specific logic of the connected MCP, allowing your agent to make informed decisions.

  • More questions about AI Token Counter? The Connector page answers them. See everything the AI Token Counter Connector can do

Connect GPT Tokenizer to Claude, Cursor, ChatGPT & more