HTML to Text Extractor Connector for AI agents.
1 live capability
Clean up bloated HTML and save 95% of your context window.
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Why people use HTML to Text Extractor
HTML to Text Extractor for Web Scraping and Data Cleaning
This Connector acts as a filter. It takes that mess and strips out everything the AI doesn't need to see. You get a clean, plain-text version that keeps the lists, links, and basic layout. It's the difference between your agent struggling through a junk pile and actually understanding the content.
What Vinkius changes
You stop wasting tokens on junk code and start giving your AI the actual data it needs to work.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Summarizing messy Zendesk tickets
The raw HTML from a CRM ticket is huge.
- Real-world use case 02
Scraping a blog for news
Websites are full of ads and scripts.
- Real-world use case 03
Processing Gmail threads
Nested HTML in emails often confuses agents.
Complete set · 1capability
The complete HTML to Text Extractor capability set.
These are the exact actions your AI can choose when you ask it to work with HTML to Text Extractor.
01
1 capability in this set.
Part of 1 available through HTML to Text Extractor.
- 01 Capability
Extract text
Sends raw HTML to the Connector and returns a clean text string. It's the primary way to strip markup while keeping the content readable.
Set up in minutes
One URL. Then ask HTML to Text Extractor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use HTML to Text Extractor from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_SysDuQ62YvTsgwb2hASFhdj4BF73LHmLrxQ5jOhX/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it HTML to Text Extractor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable HTML to Text Extractor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_SysDuQ62YvTsgwb2hASFhdj4BF73LHmLrxQ5jOhX/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the HTML to Text Extractor URL.
- Step 03
Save and start
Save the connection and enable HTML to Text Extractor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"html-to-text-extractor": {
"url": "https://edge.vinkius.com/vk_preview_SysDuQ62YvTsgwb2hASFhdj4BF73LHmLrxQ5jOhX/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using HTML to Text Extractor
Open Agent mode in chat and ask: "Using HTML to Text Extractor, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"html-to-text-extractor": {
"url": "https://edge.vinkius.com/vk_preview_SysDuQ62YvTsgwb2hASFhdj4BF73LHmLrxQ5jOhX/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using HTML to Text Extractor
Ask Copilot: "Using HTML to Text Extractor, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"html-to-text-extractor": {
"url": "https://edge.vinkius.com/vk_preview_SysDuQ62YvTsgwb2hASFhdj4BF73LHmLrxQ5jOhX/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using HTML to Text Extractor
Open Cascade and ask: "Using HTML to Text Extractor, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"html-to-text-extractor": {
"url": "https://edge.vinkius.com/vk_preview_SysDuQ62YvTsgwb2hASFhdj4BF73LHmLrxQ5jOhX/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using HTML to Text Extractor
Ask Cline: "Using HTML to Text Extractor, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add html-to-text-extractor --transport http "https://edge.vinkius.com/vk_preview_SysDuQ62YvTsgwb2hASFhdj4BF73LHmLrxQ5jOhX/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using HTML to Text Extractor
Ask Claude: "Using HTML to Text Extractor, show me...". 1 tools are ready
Where the request belongs
Work HTML to Text can move forward.
This is for developers and data analysts who are tired of their AI agents hitting context limits or hallucinating because they're trying to read bloated HTML.
Data Engineer
Cleaning web scraped data for analysis without manual regex.
Customer Support Lead
Having an AI summarize high-volume Zendesk tickets without token waste.
Web Scraper
Extracting clean content from sites with heavy styling.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsHTML DOM Query Engine
Extract specific text and attributes from massive HTML payloads instantly using CSS selectors. Fast, memory-efficient DOM parsing.
HTML to Markdown Converter
Stop LLMs from skipping website content. Convert massive HTML files into clean Markdown deterministically without data loss.
Web Scraper
Equip your AI agent with the ability to read web pages, extract metadata, and crawl documentation sites as clean Markdown.
Firecrawl
Turn any website into clean, LLM-ready Markdown with a single API call. scrape, crawl, search, and map the entire web for your AI agent.
Markdown to Plain Text Extractor Alternative
Strips Markdown syntax and measures content reduction.
Markdown to Plain Text Extractor
Strips Markdown syntax and measures content reduction.
Bring your own AI
Change the model, client or framework. Keep HTML to Text connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about HTML to Text.
The practical details behind the request, access and result.
Does the HTML to Text Extractor preserve my links?
Yes, it keeps URLs intact so your agent can still reference original sources while removing the surrounding markup.
Can I use the HTML to Text Extractor for Zendesk tickets?
Yes, it's perfect for cleaning up CRM data. It strips out the heavy HTML and gives your agent just the text of the ticket.
How much context does it save?
It can reduce your token usage by up to 95% by removing all the CSS, scripts, and other junk that your AI doesn't need to read.
Does it remove images?
Yes, it strips out the image tags and other markup, leaving you with a clean plain-text version of the content.
Is it good for web scraping?
It's a great capability for web scraping. It turns messy websites into readable text so your agent can process the information accurately.
Will it mess up my lists?
No, it's designed to preserve spatial layout and lists so that the structure of the original content remains clear for your agent.
Does it keep the links?
By default, it drops the raw hrefs to save tokens, but preserves the text of the link.
Will it extract text from images?
No, it strips `` tags completely. It does not perform OCR.
Is it safe against malicious scripts?
Yes, `` tags and their contents are completely ignored and stripped from the final text.
One connection away
Give your agent a direct line to HTML to Text.
Connect HTML to Text once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available