Document360 MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Document360 through the 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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Vinkius supports streamable HTTP and SSE.
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 Document360, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Document360 MCP Server
Connect your Document360 portal to any AI agent and take full control of your enterprise knowledge base and documentation workflows through natural conversation.
The Vercel AI SDK gives every Document360 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through the 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
- Project & Version Navigation — Analyze specific localized versions mapping exactly which documentation segments exist globally across your portal
- Categorical Orchestration — Extract explicitly attached categories bounding physical groupings active inside specific project versions
- Article Management — Perform structural extraction of explicit document lists and retrieve raw content texts securely via unique IDs
- Semantic Search — Execute immediate semantic queries discovering strictly mapped textual responses active inside your knowledge base
- Team & Author Oversight — Retrieve complex RBAC profiles outlining registered authors physically mapped against workspace boundaries
- Analytics & Traffic Auditing — Read available metrics exposing explicit traffic ranges and visitor interaction stamps to monitor KB performance
The Document360 MCP Server exposes 7 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Document360 to Vercel AI SDK via MCP
Follow these steps to integrate the Document360 MCP Server with Vercel AI SDK.
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 7 tools from Document360 and passes them to the LLM
Why Use Vercel AI SDK with the Document360 MCP Server
Vercel AI SDK provides unique advantages when paired with Document360 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 Document360 integration everywhere
Built-in streaming UI primitives let you display Document360 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
Document360 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Document360 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Document360 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Document360 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Document360 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Document360 through natural language queries
Document360 MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Document360 to Vercel AI SDK via MCP:
analytics
Get knowledge base analytics
get_article
Get article content
list_articles
List articles in a category
list_categories
List categories in a version
list_projects
List project versions
list_team
List team accounts
search
Search articles
Example Prompts for Document360 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Document360 immediately.
"List all versions for my Document360 project"
"Search for 'Single Sign On setup' in my KB"
"Show me knowledge base analytics from the last 30 days"
Troubleshooting Document360 MCP Server with Vercel AI SDK
Common issues when connecting Document360 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDocument360 + Vercel AI SDK FAQ
Common questions about integrating Document360 MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Document360 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Document360 to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.