Nuclino MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Nuclino 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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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 Nuclino, 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 Nuclino MCP Server
Connect your Nuclino account to your AI agent and seamlessly interact with your company's unified workspace for knowledge, docs, and projects.
The Vercel AI SDK gives every Nuclino tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Teams & Workspaces — Rapidly list all teams you are part of, and enumerate the nested workspaces and collections to understand your organization's hierarchy.
- Search & Query — Perform global fuzzy searches using
search_itemsto track down specific documents, notes, or project pages across the entire knowledge base. - Read Items & Files — Read the exact content configuration of any item (document) via
get_item, and list attachments or files uploaded to the platform. - Record Creation — Instantly create new items natively inside your workspace using natural language.
- Telemetrics — Enumerate members and structural fields within your Nuclino domain to keep the agent aware of context and owners.
The Nuclino MCP Server exposes 12 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 Nuclino to Vercel AI SDK via MCP
Follow these steps to integrate the Nuclino 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 12 tools from Nuclino and passes them to the LLM
Why Use Vercel AI SDK with the Nuclino MCP Server
Vercel AI SDK provides unique advantages when paired with Nuclino 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 Nuclino integration everywhere
Built-in streaming UI primitives let you display Nuclino 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
Nuclino + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Nuclino MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Nuclino in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Nuclino tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Nuclino capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Nuclino through natural language queries
Nuclino MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Nuclino to Vercel AI SDK via MCP:
create_item
Triggers real-time replication creating permanent Wiki documentation. Write a brand new knowledge Item / Page into a Workspace
delete_item
Always confirm with the user heavily before destroying knowledge. Irreversibly delete a structural Nuclino Item
get_item
Retrieve the exact Markdown payload and configuration of an Item
list_collections
Used to trace the document relationship graph paths visually within a target Workspace. List Collections (grouping directories) segmenting a Workspace
list_fields
Used to understand standard taxonomy dimensions applicable against Items. Map customizable structured property fields globally binding a Team
list_files
Exposes pure URL bindings mapping binary data records back to object storage. List physical attachments explicitly bolted onto an Item
list_items
Used to enumerate top-level document UUIDs, titles, and creation metadata natively spanning a specific Workspace layer. List all standard knowledge items (pages) in a Workspace
list_teams
Use this as the entry point to discover available root organizational unit IDs traversing down into workspaces. List all organizational Teams the authenticated user belongs to
list_users
Enumerate human identities attached globally onto a Team
list_workspaces
Returns internal workspace UUIDs essential for scoping later item queries. List all isolated Workspaces mapped within a specific Team
search_items
Use to uncover unknown UUIDs. Execute an indexed semantic search globally across a Team
update_item
Alters the sync tree immediately appending new wiki edits. Overwrite active partial Markdown states inside a listed Item
Example Prompts for Nuclino in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Nuclino immediately.
"Search Nuclino for any documentation mentioning 'SSO Security Policies'."
"Create an item titled 'Project X Architecture Brief' in the Engineering workspace."
"List all teams connected to this authentication token."
Troubleshooting Nuclino MCP Server with Vercel AI SDK
Common issues when connecting Nuclino to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNuclino + Vercel AI SDK FAQ
Common questions about integrating Nuclino 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 Nuclino 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 Nuclino to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.