How to Use the Writer (AI Enterprise LLM) MCP in Claude Code

Q: What kind of content can Writer (AI Enterprise LLM) generate using Claude Code?

It outputs text completions for scripts (textcompletion), or it runs full no-code applications via generateapplicationcontentasync which is perfect for background jobs.

Q: How do I check available models with Writer (AI Enterprise LLM) in Claude Code?

Run the simple command to call listmodels. This reveals all the writer models you can target from your terminal script.

Writer (AI Enterprise LLM) MCP Server: Headless, scriptable actions for Claude Code.

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Connect Writer (AI Enterprise LLM) MCP to Claude Code

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Setup Writer (AI Enterprise LLM) with Claude Code

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Claude

Perplexity

Running RAG pipelines with the Writer (AI Enterprise LLM) MCP Server

For CI/CD or cron jobs, you need reliable data answers. Pipe documents into the system using `upload_file` and then query them via a structured Knowledge Graph managed by `ask_question`. This means your script gets verifiable answers every time it runs.

Batch Content Generation for Claude Code

Need to generate content across many files or during automated deployment? Use the asynchronous application generation tools: `generate_application_content_async`. This returns a job ID, allowing your script to monitor status and process results later.

Comprehensive File Management for Claude Code

Keep all inputs clean. Your scripts can list files with `list_files`, get metadata with `get_file`, or even remove old assets using `delete_file`. You also have the option to pull binary content directly via `download_file`.

Setup guide

Set up Writer (AI Enterprise LLM) 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 writer-ai-enterprise-llm-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Writer (AI Enterprise LLM) transactions." It will automatically discover and invoke the available Writer (AI Enterprise LLM) tools.

Terminal

claude mcp add --transport http writer-ai-enterprise-llm-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 Writer (AI Enterprise LLM) 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": {
    "writer-ai-enterprise-llm-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Writer (AI Enterprise LLM) MCP in Claude Code

You treat it like an API endpoint. You call the necessary tools—say, `create_graph` followed by `add_file_to_graph`—and pipe the output into your next script step for full automation.

Yes. If your pipeline needs to process multiple languages, simply call `translate_text` on your text strings before they hit the main generation logic.

The server touches uploaded files and Knowledge Graphs. Since you are running it headless, using a dedicated endpoint token keeps your process isolated from the client machine's environment.

It outputs text completions for scripts (`text_completion`), or it runs full no-code applications via `generate_application_content_async` which is perfect for background jobs.

Run the simple command to call `list_models`. This reveals all the writer models you can target from your terminal script.

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