Wiki.js MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Page, Delete Page, Get Page, and more

Name: Wiki.js
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wiki.js through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Wiki.js MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Wiki.js, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Wiki.js MCP Server

Connect your Wiki.js instance to any AI agent and take full control of your internal knowledge base through natural conversation. This server allows you to interact with your documentation without leaving your chat interface.

The Vercel AI SDK gives every Wiki.js tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

Page Management — Create new pages with full metadata, update existing content by ID, or delete outdated documentation.
Search & Discovery — Search across your entire wiki for specific keywords or list all available pages to understand your knowledge structure.
Content Retrieval — Fetch the raw content and metadata of any page using its URL path and locale.
Flexible Editing — Support for different editor types and publishing statuses (published/private) directly via the API.

The Wiki.js MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Wiki.js tools available for Vercel AI SDK

When Vercel AI SDK connects to Wiki.js through Vinkius, your AI agent gets direct access to every tool listed below — spanning documentation, wiki, content-creation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create page on Wiki.js

Create a new Wiki.js page

delete

Delete page on Wiki.js

Delete a Wiki.js page

get

Get page on Wiki.js

Fetch a Wiki.js page by path

list

List pages on Wiki.js

List all Wiki.js pages

Search pages on Wiki.js

Search for content in Wiki.js

update

Update page on Wiki.js

Update an existing Wiki.js page

Connect Wiki.js to Vercel AI SDK via MCP

Follow these steps to wire Wiki.js into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 6 tools from Wiki.js and passes them to the LLM

Why Use Vercel AI SDK with the Wiki.js MCP Server

Vercel AI SDK provides unique advantages when paired with Wiki.js through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Wiki.js integration everywhere

Built-in streaming UI primitives let you display Wiki.js tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Wiki.js + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Wiki.js MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Wiki.js in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Wiki.js tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Wiki.js capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Wiki.js through natural language queries

Example Prompts for Wiki.js in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wiki.js immediately.

"Search for 'deployment guide' in our Wiki.js."

"Create a new markdown page at 'docs/api-v2' titled 'API v2 Reference'."

"List all the pages available in our wiki."

Troubleshooting Wiki.js MCP Server with Vercel AI SDK

Common issues when connecting Wiki.js to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Wiki.js + Vercel AI SDK FAQ

Common questions about integrating Wiki.js MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.