How to Use the HTML to Text Extractor MCP in Claude Code

Q: How do I know if the server is connected correctly?

After adding it, run claude mcp list. You should see html-extractor in the list of your connected MCP servers.

Pipe clean text to your scripts. This tool strips HTML for headless workflows with Claude Code in your terminal.

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Connect HTML to Text Extractor MCP to Claude Code

Create your Vinkius account to connect HTML to Text Extractor to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup HTML to Text Extractor with Claude Code

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HTML to Text for the Terminal

The `extract_text` tool is a command-line-friendly function for your agent. It takes an HTML string and returns only the plain text content, ready to be piped somewhere else. Use it in your shell scripts. Curl a webpage, pipe the source to your Claude Code agent, and have it run `extract_text`. The output is clean text you can pass to `grep`, `awk`, or another script.

Build Reliable CI/CD Pipelines

This MCP Server gives your automated jobs a way to read web content without the noise. The `extract_text` tool is designed for headless execution in environments like GitHub Actions or Docker. Your CI job can now check a documentation page for changes or pull release notes without parsing messy HTML. It makes your scripts simpler and less likely to break when a website's layout changes.

Connect Claude Code in One Line

Adding this server is a single command: `claude mcp add --transport http html-extractor -- <url>`. That's it. Your agent can now use the `extract_text` tool. The configuration is saved to `~/.claude.json`, so it's ready for all future sessions. It's built for developers who live in the terminal and need tools that just work.

Setup guide

Set up HTML to Text Extractor MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see html-to-text-extractor-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest HTML to Text Extractor transactions." It will automatically discover and invoke the available HTML to Text Extractor tools.

Terminal

claude mcp add --transport http html-to-text-extractor-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the HTML to Text Extractor MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "html-to-text-extractor-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HTML to Text. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about HTML to Text Extractor MCP in Claude Code

You can pipe curl's output directly to your agent. For example: `curl -s "https://example.com" | claude run "use extract_text on the input and print the result"`.

Yes, perfectly. As long as your container can reach the Vinkius MCP server endpoint and you've configured Claude Code, it will work just like on your local machine.

This tool is context-aware for your AI agent, not just a text dumper. It provides cleaner input formatted for an LLM, and it's a managed service so you don't install anything.

After adding it, run `claude mcp list`. You should see `html-extractor` in the list of your connected MCP servers.

It's processed and immediately discarded. The server runs in a zero-trust, ephemeral sandbox. Your HTML data is never written to disk or stored after the request is complete.

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