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

Q: Which types of data can I feed to Writer (AI Enterprise LLM) when using Cursor?

You can upload various files using uploadfile and then add them to a Knowledge Graph. The agent can also pull context from the web via websearch, giving your code access to both internal documentation and current external facts.

Q: Do I need special setup for Writer (AI Enterprise LLM) when using Cursor?

You set it up by creating a specific .cursor/mcp.json file in your project root or global directory, defining the server connection. Then, you activate Agent mode in chat to let the AI use the tools.

Q: If I need to check current data before writing code with Writer (AI Enterprise LLM) and Cursor?

You should run askquestion against your Knowledge Graphs first. This gives you a verified answer, which you can then copy/paste or reference directly into the code that the AI agent generates for you.

Inject live API data into code using Cursor and Writer (AI Enterprise LLM).

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Connect Writer (AI Enterprise LLM) MCP to Cursor

Create your Vinkius account to connect Writer (AI Enterprise LLM) to Cursor 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 Writer (AI Enterprise LLM) with Cursor

Ask AI about this MCP

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Claude

Perplexity

Write functions that use real, live context.

Cursor's unique power is injecting actual API responses. The MCP Server lets your AI agent call tools like `web_search` or run a structured query via `ask_question`. This means the generated code uses real-time data, not just mock stubs. You don't have to leave your editor. Your agent calls the tool, gets the output, and injects that result directly into the function body you're writing.

Build context from multiple sources in one project.

Need to reference internal documentation? Use `add_file_to_graph` to load files specific to your current project scope. The agent then queries this custom knowledge base using `ask_question`. This keeps the AI grounded in *your* code and domain specifics. It also lets you manage what's loaded with `list_graphs`, so you know exactly which data context is active for that file.

Generate boilerplate using controlled text completions.

For quick utility functions or docstrings, the agent uses `text_completion`. This generates focused, single-prompt text blocks. It’s fast and reliable when you need a defined piece of writing without running a whole application workflow. Alternatively, if you're translating needed strings, use `translate_text` to ensure your generated code is localized for different markets.

Setup guide

Set up Writer (AI Enterprise LLM) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Writer (AI Enterprise LLM) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Writer (AI Enterprise LLM) transactions." If the MCP tools are loaded correctly, Cursor will call the Writer (AI Enterprise LLM) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "writer-ai-enterprise-llm-mcp": {
      "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 Writer. 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 Writer (AI Enterprise LLM) MCP in Cursor

It gives the AI agent live context. Instead of just suggesting syntax, it executes tools like `ask_question` and injects real data—like a user ID or product name retrieved from your knowledge graph—directly into your code structure.

You can upload various files using `upload_file` and then add them to a Knowledge Graph. The agent can also pull context from the web via `web_search`, giving your code access to both internal documentation and current external facts.

You set it up by creating a specific `.cursor/mcp.json` file in your project root or global directory, defining the server connection. Then, you activate Agent mode in chat to let the AI use the tools.

You should run `ask_question` against your Knowledge Graphs first. This gives you a verified answer, which you can then copy/paste or reference directly into the code that the AI agent generates for you.

The MCP Server is designed to run within your project scope. This means the context and files used by tools like `add_file_to_graph` are confined, giving you granular control over what live data is injected into your code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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