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

Q: How do I handle RAG queries with Writer (AI Enterprise LLM) using Vercel AI SDK?

You first need to ingest data. Use uploadfile and then execute the addfiletograph tool. Once the graph is built, your agent calls askquestion, streaming the retrieved context right into the user's view.

Q: Can I process PDFs using Writer (AI Enterprise LLM) with Vercel AI SDK?

Yes. You can use parsepdf to convert PDF documents into usable text or markdown before adding them to a knowledge graph. This makes the content readable for subsequent calls like addfiletograph.

Q: Does the Vercel AI SDK support translating data from Writer (AI Enterprise LLM)?

Absolutely. The translatetext tool handles language conversion between supported languages. You can pipe text through this function before displaying it to the end user in your React component.

Q: What tools are available for managing files with Writer (AI Enterprise LLM) on Vercel AI SDK?

You've got full file lifecycle management. You can listfiles to see what you have, getfile to check metadata, and even use deletefile if a document needs purging.

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Connect Writer (AI Enterprise LLM) MCP to Vercel AI SDK

Create your Vinkius account to connect Writer (AI Enterprise LLM) to Vercel AI SDK 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 Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-Time Knowledge Graph Q&A for the Vercel AI SDK

Need to let users ask questions against proprietary data? Start by uploading files using `upload_file` and building a knowledge base with `create_graph`. Then, use `ask_question` to query that graph, streaming the results directly into your UI via `streamText`.

Sync or Async Content Generation in Vercel AI SDK

Running a complex content generation process? You've got two options. Use `generate_application_content` for synchronous tasks when you need an immediate result, or fire off the job with `generate_application_content_async` and poll its status using `get_application_job`.

Web-Powered Content Creation with MCP Server

Don't let your AI models hallucinate. Use `web_search` to pull live data into the generation pipeline. This means when you call `chat_completion`, the content is grounded in current search results, not just old training data. It keeps your user-facing product accurate.

Setup guide

Set up Writer (AI Enterprise LLM) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Writer (AI Enterprise LLM) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Writer (AI Enterprise LLM) transactions",
});

console.log(text);
await mcpClient.close();

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 Vercel AI SDK

You first need to ingest data. Use `upload_file` and then execute the `add_file_to_graph` tool. Once the graph is built, your agent calls `ask_question`, streaming the retrieved context right into the user's view.

Yes. You can use `parse_pdf` to convert PDF documents into usable text or markdown before adding them to a knowledge graph. This makes the content readable for subsequent calls like `add_file_to_graph`.

Absolutely. The `translate_text` tool handles language conversion between supported languages. You can pipe text through this function before displaying it to the end user in your React component.

You've got full file lifecycle management. You can `list_files` to see what you have, `get_file` to check metadata, and even use `delete_file` if a document needs purging.

The server handles file data types including uploaded files, which are used for Knowledge Graphs or Vision tasks. You control access via the provided endpoint token and manage deletion through `delete_file`.

Use it with your favorite AI tools

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

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