Vercel AI SDKSDK

QuickNode MCP Server

Bring Web3
to Vercel AI SDK

Name: QuickNode MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect QuickNode to Vercel AI SDK and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Create Kv ListCreate Kv SetCreate StreamCreate WebhookDelete Kv SetDelete StreamDelete WebhookGet Kv ListGet Kv SetGet StreamList StreamsList WebhooksRpc Eth BlocknumberRpc Eth CallRpc Eth GetlogsRpc Eth GettransactionreceiptUpdate Kv ListUpdate Stream

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the QuickNode MCP Server?

Connect your QuickNode account to any AI agent to orchestrate Web3 infrastructure through natural language. This server provides a comprehensive suite of tools to manage high-performance blockchain data pipelines and queries.

What you can do

Streams Management — Create, list, and update real-time data streams for historical and live blockchain ingestion using create_stream and list_streams.
Webhooks — Deploy webhooks from templates (like EVM wallet filters or contract events) to deliver real-time events to your HTTP endpoints via create_webhook.
KV Store — Manage key-value pairs and lists to power advanced server-side filtering logic for your streams using create_kv_list and create_kv_set.
Core RPC — Access fundamental blockchain data, such as retrieving the most recent block number using rpc_eth_blocknumber.

How it works

Subscribe to this server
Provide your QuickNode API Key and RPC URL
Start building and monitoring your Web3 infrastructure from Claude, Cursor, or any MCP client

Who is this for?

Web3 Developers — Rapidly prototype and manage data pipelines without leaving the terminal or IDE.
Data Engineers — Orchestrate complex blockchain data ingestion workflows using natural language commands.
DevOps Teams — Monitor and update infrastructure configurations, webhooks, and streams on the fly.

Built-in capabilities (18)

create_kv_list

Create a new KV Store list

create_kv_set

Create a KV Store key-value pair

create_stream

Create a new QuickNode stream

create_webhook

Create a webhook from a template

delete_kv_set

Delete a KV Store key-value pair

delete_stream

Delete a QuickNode stream

delete_webhook

Delete a QuickNode webhook

get_kv_list

Retrieve items from a KV Store list

get_kv_set

Retrieve a value from KV Store sets

get_stream

Retrieve details of a specific QuickNode stream

list_streams

List all active QuickNode streams

list_webhooks

Retrieve all QuickNode webhooks

rpc_eth_blocknumber

Returns the number of the most recent block

rpc_eth_call

Executes a new message call immediately without creating a transaction

rpc_eth_getlogs

Returns an array of all logs matching a given filter object

rpc_eth_gettransactionreceipt

Returns the receipt of a transaction by hash

update_kv_list

Add or remove items from a KV Store list

update_stream

Update an existing QuickNode stream

Why Vercel AI SDK?

The Vercel AI SDK gives every QuickNode tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 18 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 QuickNode integration everywhere
—
Built-in streaming UI primitives let you display QuickNode 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

QuickNode in Vercel AI SDK

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

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

Teams that connect QuickNode 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 catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Vercel AI SDK →

Enterprise Security

Why teams choose Vinkius for QuickNode in Vercel AI SDK

The QuickNode 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 18 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.

Unlock for AI Agents View full QuickNode details →

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
QuickNode for Vercel AI SDK

Every tool call from Vercel AI SDK to the QuickNode 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

How do I check the current block height on Ethereum?

You can use the rpc_eth_blocknumber tool. It will return the most recent block number from the blockchain network connected to your RPC URL.

Can I create a stream to monitor specific blockchain datasets?

Yes, use the create_stream tool. You can specify the dataset (e.g., 'block', 'traces') and the destination (e.g., 'webhook', 's3') to start ingesting data immediately.

How do I manage lists for my stream filters?

Use the create_kv_list tool to initialize a list and update_kv_list to add or remove items. These lists can be referenced in your Streams JavaScript filter functions.

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.

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.

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.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

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