• STRUCTURED
  • FILTERED
  • MAPPED
  • HUMAN

How to extract entities from text with your AI

Connect MonkeyLearn to your AI client once. From then on, your agent pulls specific data points from any text you provide.

Ask AI about this page

Short answer

How can I pull specific data from unstructured text?

Your AI uses the extract_data tool to find and isolate specific entities like names, IDs, or keywords. You'll get a structured list of these values instead of a block of text. Here is how the data is processed.

The results.

Where your data lands.

The AI identifies specific pieces of information and organizes them for you.

STRUCTURED

Clean data lists

The AI uses extract_data to pull specific entities. You get a clean set of values instead of a messy paragraph.

FILTERED

Targeted keywords

The agent identifies only the specific terms you asked for. It ignores the noise and keeps the relevant identifiers.

MAPPED

Organized categories

Entities are grouped into logical buckets. This makes it easy to move the data into a spreadsheet or database.

HUMAN

Manual review needed

If the text is too ambiguous, the AI flags it. You decide if the extracted entities are accurate before moving forward.

The workflow

What your AI does when text arrives.

The AI acts as a high-speed parser for your unstructured inputs.

  1. Scan text

    The agent reads through the provided text block to locate patterns and specific strings.

    extract_data

  2. Identify entities

    It isolates the specific names, IDs, or keywords you defined in your request.

    extract_data

  3. Format output

    The extracted data is converted into a structured format that fits your needs.

    extract_data

  4. Verify accuracy

    The AI checks the extracted values against your original constraints to ensure they make sense.

    extract_data

Try it

Copy these to start.

Use these prompts to trigger the extraction process immediately.

Starting points

Swap the bracketed text for your actual data sources like a Google Sheet or a specific email thread.

MonkeyLearn Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_hyDDEZ4vXmuIKhDYNNvrmR8MIwEJKQ8m0bZeKHs6/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 — MonkeyLearn capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "monkeylearn-alternative-1-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_hyDDEZ4vXmuIKhDYNNvrmR8MIwEJKQ8m0bZeKHs6/mcp"
    }
  }
}
Copy into chat04

  • Extract all customer IDs from this Google Sheet row.

  • Pull the names and dates mentioned in this support ticket.

  • Find all product keywords in this Slack conversation history.

  • Identify the specific invoice numbers in this email thread.

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

Start here

Connect MonkeyLearn once, then ask.

You only need to link your account once. Your credentials stay encrypted, and you can start pulling data right away.

Connect MonkeyLearn to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change the original text?

    No. The AI only reads and extracts data. It does not modify your source files or original text blocks.

  • 02

    Does the AI automatically save the data to my database?

    No. The AI extracts the data and presents it to you. You must decide how to save or move that data.

  • 03

    What happens if the text is too messy to read?

    The AI will tell you it can't find the specific entities you asked for. It won't guess if it's unsure.

  • 04

    Can I extract multiple different things at once?

    Yes. You can ask for names, IDs, and dates all in a single request.

  • 05

    Does this work with any text file?

    It works with any text the AI can read through the connector, including content from sheets, emails, or chat logs.

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

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