How to Use the Wiki.js MCP in Vercel AI SDK
Stream documentation updates live in your UI with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Wiki.js MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 Wiki.js tools. Pass them directly togenerateText()orstreamText()— 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.
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
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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
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