- CLEAN DATA
- URL LISTS
- RAW TEXT
- HUMAN REVIEW
Short answer
How do I pull hashtags and mentions from social posts using AI?
Use the Natural Tokenizer Engine to perform deterministic parsing on raw text strings. This pulls clean hashtags, mentions, and URLs without the AI guessing where they start or end. You get structured data ready for your next task.
The results.
Where your data lands.
The engine breaks down raw social text into organized pieces.
CLEAN DATA
Structured metadata lists
The engine identifies every hashtag and mention. You get a clean list of strings instead of messy text blocks.
URL LISTS
Extracted web links
All URLs within a post are isolated. This makes it easy to pass links directly to other tools or databases.
RAW TEXT
Original post content
The engine keeps the source text intact. You can compare the extracted tokens against the original post to ensure accuracy.
HUMAN REVIEW
Manual verification
You decide which extracted mentions are relevant. The AI identifies the tokens, but you handle the final filtering and intent.
The workflow
What your AI does when the text arrives.
The engine uses strict parsing rules to ensure the AI doesn't hallucinate extra characters or miss boundaries.
Token identification
The engine scans the input string for specific patterns like the # or @ symbols. It identifies the exact start and end of each token.
natural_tokenizerBoundary enforcement
It applies deterministic logic to stop parsing at whitespace or punctuation. This prevents the AI from grabbing extra characters that aren't part of the tag.
natural_tokenizerURL isolation
The engine finds web addresses within the text. It separates these from the surrounding conversational text.
natural_tokenizerData structuring
The engine organizes the found hashtags, mentions, and URLs into distinct groups. Your agent receives these as structured objects.
natural_tokenizer
Try it
Copy these to start.
Use these prompts to trigger the parsing immediately.
Starting points
Swap the bracketed text for your actual data source, like a specific spreadsheet or a list of posts.
Natural Tokenizer Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_9uM8ikpa09EQ3HGlCDf8Yimb8DquT4Jkby5DTS0D/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 — Natural Tokenizer Engine capabilities are ready to use.
{
"mcpServers": {
"natural-tokenizer-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_9uM8ikpa09EQ3HGlCDf8Yimb8DquT4Jkby5DTS0D/mcp"
}
}
}Extract all hashtags and mentions from this list of tweets: [paste text]
Pull every URL from the posts in my 'Social Feed' sheet.
Find all the @mentions in this Slack channel history.
List the hashtags found in these recent Instagram captions.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Natural Tokenizer Engine once, then ask.
Click the link to connect the MCP to your client. Your credentials stay encrypted, and you can start parsing text immediately.
Connect Natural Tokenizer Engine to your AIFAQ
How this task behaves.
- 01
Will the AI hallucinate hashtags that aren't there?
No. The engine uses deterministic parsing, which means it only extracts what actually exists in the text.
- 02
Can the AI change the original post?
No. The engine only reads and parses the text. It cannot edit, delete, or modify your original social media posts.
- 03
Does it work on images?
No. This engine parses text strings. It cannot extract hashtags from text embedded inside an image file.
- 04
Can I use this to post replies?
No. This tool is for extraction only. It does not have the capability to send messages or post content to social platforms.
- 05
How does it handle weird punctuation?
The engine uses strict boundaries to ensure punctuation marks are not included in the extracted hashtag or mention.
More questions about Natural Tokenizer Engine? The Connector page answers them. See everything the Natural Tokenizer Engine Connector can do
Connect Natural Tokenizer Engine to Claude, Cursor, ChatGPT & more
