4,000+ servers built on vurb.ts
Vinkius
Vercel AI SDKSDK
Slite MCP Server

Bring Documentation
to Vercel AI SDK

Learn how to connect Slite to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Ask Slite AiCreate NoteFlag OutdatedGet MeGet NoteList CollectionsList Note ChildrenList NotesList UsersSearch NotesUpdate NoteVerify Note

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Slite

What is the Slite MCP Server?

What you can do

  • List, create, and update notes in your workspace knowledge base.
  • Search for documents using keywords and nested hierarchies.
  • Ask Slite AI questions to derive answers directly from your documentation.
  • Manage document quality by verifying docs or flagging outdated content.

How it works

  1. Obtain your API Key from your Slite workspace settings under Developer.
  2. Enter your credentials in Vinkius platform.
  3. Start chatting with your Slite agent to manage your team's knowledge.

Who is it for?

  • Teams needing automated documentation management.
  • Product managers tracking specifications and meeting notes.
  • Operations teams keeping the internal knowledge base verified and up-to-date.

Built-in capabilities (12)

ask_slite_ai

Ask a question to Slite AI

create_note

Create a new note in Slite

flag_outdated

Flag a document as needing review

get_me

Get current user profile

get_note

Get details and content of a specific note

list_collections

List all structured collections

list_note_children

List sub-notes of a parent

list_notes

List all notes in Slite

list_users

List organization users

search_notes

Search for notes in your workspace

update_note

Update an existing note

verify_note

Mark a document as verified

Why Vercel AI SDK?

The Vercel AI SDK gives every Slite 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.

  • 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 Slite integration everywhere

  • Built-in streaming UI primitives let you display Slite 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

See it in action

Slite in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Slite and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Slite to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Slite in Vercel AI SDK

The Slite 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Slite
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Slite for Vercel AI SDK

Every tool call from Vercel AI SDK to the Slite MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I ask questions to Slite AI?

Yes, use the ask_slite_ai tool to get answers sourced directly from your documents.

02

How do I create a nested note?

When using create_note, provide the note_id of the parent in the parent_note_id parameter.

03

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.

04

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

05

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

06

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

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