- DATA
- TAGS
- HUMAN
- LOGS
Short answer
How can I pull specific data from raw text using AI?
Your AI uses MonkeyLearn extractors to scan text and pull out specific entities like names, dates, or locations. This turns a wall of text into a clean, organized list of data points.
Where your data lands.
Structured outcomes.
The AI maps extracted information to these specific results.
DATA
Structured entity lists
The AI identifies specific tags and pulls the corresponding text. You get a clean set of values ready for a spreadsheet or database.
TAGS
Categorized information
The AI uses extractor tags to group data. This helps you sort your text into logical buckets like 'Customer Name' or 'Event Date'.
HUMAN
Manual review needed
If the AI finds text that doesn't match your defined extractors, it flags it for you. You decide if that data is worth adding to your schema.
LOGS
Extractor inventory
The AI can check which extractors you have available. This ensures it uses the right logic for the specific text you provide.
The workflow
What your AI does when text arrives.
The AI acts as a bridge between your raw input and your MonkeyLearn configuration.
Identify available tools
The AI first checks your MonkeyLearn account to see which extraction logic is ready to use.
list_extractorsMap data categories
It looks up the specific tags associated with your extractors to understand what it's looking for.
list_extractor_tagsRun the extraction
The AI passes your text through the chosen extractor to pull out the requested entities.
extract_text_entitiesFormat the output
The AI organizes the found entities into a structured format that matches your requirements.
extract_text_entities
Try it
Copy these to start.
Use these prompts to trigger the extraction process immediately.
Starting points
Swap out the bracketed text for your actual data sources like a specific Google Sheet or a text file.
MonkeyLearn Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_cjNrQPTPb2dGyXsgNWrkuHpvGkEq1lXSllJz11sl/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — MonkeyLearn capabilities are ready to use.
{
"mcpServers": {
"monkeylearn-alternative-mcp": {
"url": "https://edge.vinkius.com/vk_preview_cjNrQPTPb2dGyXsgNWrkuHpvGkEq1lXSllJz11sl/mcp"
}
}
}Extract all names and dates from this email thread: [paste text]
Look at the customer feedback in this CSV and pull out all mentioned locations.
List all the extractors available in my MonkeyLearn account so I know what I can use.
Use the 'Product Name' extractor on this support ticket to find what the user is talking about.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect MonkeyLearn once, then ask.
Just link your account once. Your credentials stay encrypted, and you can start pulling data through any MCP-compatible client.
Connect MonkeyLearn to your AIFAQ
How this task behaves.
- 01
Can the AI create new extractors in MonkeyLearn?
No. The AI can only use the extractors you have already created and configured in your MonkeyLearn account.
- 02
What happens if the AI can't find a specific entity?
If the text doesn't match your extractor's logic, the AI simply won't return a value for that field.
- 03
Can the AI delete my existing extractors?
No. The AI only has permission to read your extractor list and run extractions. It cannot modify or delete your setup.
- 04
Does the AI decide which extractor to use?
Yes, you can tell the AI to find the right tool for the job, or you can tell it exactly which extractor to trigger.
- 05
Can the AI fix typos in the extracted text?
No. The AI pulls the text exactly as it appears in the source string. It does not perform spelling corrections on the extracted data.
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