• RAW DATA
  • LOGIC
  • DEBUG
  • HUMAN

How to inspect text tokenization with your AI

Connect Cohere to your AI client to see exactly how text segments convert to integers. This ensures your application logic stays in sync with the model's encoding.

Ask AI about this page

Short answer

How can I see how my AI tokenizes text?

You can use the tokenize_text tool to turn any string into its specific integer sequence. This reveals the exact token IDs the model uses for your input. You'll see the breakdown of segments immediately.

Where every result lands.

Tokenization outcomes

The AI processes your text and maps the results to these specific areas.

RAW DATA

Integer sequences

The AI uses tokenize_text to pull the exact integer IDs for your input. You get the raw numbers used by the model.

LOGIC

Encoding matches

Compare these segments against your application's local encoder. This confirms your code and the model are speaking the same language.

DEBUG

Boundary checks

Identify where the model splits words or symbols unexpectedly. This helps you fix issues with special characters or long strings.

HUMAN

Manual review

The AI provides the mapping, but you decide if the tokenization logic fits your specific use case. You handle the final architectural decisions.

The workflow

What your AI does when the text arrives.

Your agent handles the heavy lifting of converting text to math.

  1. Receive input

    Your agent takes the raw text string you provide in the chat.

    tokenize_text

  2. Convert to IDs

    The agent runs the text through the encoding model to find the integer segments.

    tokenize_text

  3. Map segments

    The agent organizes the resulting IDs so you can see which characters belong to which token.

    tokenize_text

  4. Report findings

    The agent presents the token count and the integer list back to you in the chat.

    tokenize_text

Try it

Copy these to start.

Use these prompts to begin your inspection.

Starting points

Swap the text in quotes for the specific strings you need to test.

Cohere Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_fA1l2oqJxpD7QL48YxxEDHfZLGLU7FMkmFVJY7Ft/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 — Cohere capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cohere-ai-platform-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fA1l2oqJxpD7QL48YxxEDHfZLGLU7FMkmFVJY7Ft/mcp"
    }
  }
}
Copy into chat04

  • Tokenize this string: 'The quick brown fox jumps over the lazy dog'

  • Show me the integer segments for: 'User_ID_12345_Session_Active'

  • How does the model tokenize this specific JSON snippet: '{"status": "success", "code": 200}'

  • Check the tokenization for this long paragraph: 'Insert your long application input here'

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

Start here

Connect Cohere once, then ask.

Just link your account once. Your credentials stay encrypted, and you can immediately start asking your AI to tokenize text.

Connect Cohere to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my application's encoding settings?

    No. The AI only reads and reports how the model tokenizes text. It cannot modify your local code or environment.

  • 02

    Does this tool work for any text?

    Yes, the tool processes any string you provide to show how the model sees it.

  • 03

    Will the AI automatically fix my tokenization errors?

    No. The AI identifies the segments, but you must implement any necessary changes in your own application.

  • 04

    Can I see the actual words alongside the integers?

    Yes, the agent can show you the mapping between the text segments and their corresponding IDs.

  • 05

    Can the AI delete my data during this process?

    No. This tool is read-only. It only performs tokenization and does not have the ability to delete or modify your data.

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

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