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How to Use the Wiki.js MCP in Vercel AI SDK

Stream documentation updates live in your UI with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Wiki.js MCP on Cursor AI Code Editor MCP Client Wiki.js MCP on Claude Desktop App MCP Integration Wiki.js MCP on OpenAI Agents SDK MCP Compatible Wiki.js MCP on Visual Studio Code MCP Extension Client Wiki.js MCP on GitHub Copilot AI Agent MCP Integration Wiki.js MCP on Google Gemini AI MCP Integration Wiki.js MCP on Lovable AI Development MCP Client Wiki.js MCP on Mistral AI Agents MCP Compatible Wiki.js MCP on Amazon AWS Bedrock MCP Support
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Vercel AI SDK

Connect Wiki.js MCP to Vercel AI SDK

Create your Vinkius account to connect Wiki.js 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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Read and Update Wiki.js Pages Live

Your agent gets the content you need instantly. Use `get_page` to pull specific documentation paths, or call `update_page` when a section changes. The results stream directly into your React UI, letting users see data appear in real-time. The developer builds user-facing products where reading and writing wiki pages feels instantaneous. It’s perfect for showing live status updates straight from the MCP Server.

Search Wiki.js Content On Demand

Need to find a page quickly? Call `search_pages` and pipe those results into your frontend component. The AI doesn't just return a list; it streams potential matches as the user types, giving them immediate feedback. This feature lets you build better search experiences that don't require a full page reload or loading spinner.

Manage Page Lists and Creation

Set up admin views to manage documentation structure. Use `list_pages` to fetch the entire site map, or use `create_page` when new guides drop. The data feeds into your client's state management system right away. You’ll never have to manually refresh a page just to check if a new guide was added.

Setup guide

Set up Wiki.js 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Wiki.js tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Wiki.js transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wiki.js. 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.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wiki.js MCP in Vercel AI SDK

Just call the `search_pages` tool via your agent client. The results stream into your UI, so you see potential matches pop up immediately without waiting for a full API response.
Yep. You use the `update_page` tool to change specific sections of existing wiki content. It's ideal for showing users that a document was modified live on the page.
You call `list_pages`. Because you're using Vercel AI SDK, this data streams into your component state, letting you build dynamic sidebars or index views that update instantly.
It does. You use `create_page` through your agent client. This means you can build a 'New Guide' button that instantly writes content to the wiki.
It handles page paths and documentation content, letting your AI client manage everything from reading existing drafts via `get_page` to writing new ones.

Start using the Wiki.js MCP today

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Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for Wiki.js. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting. You're up and running in seconds.

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