QuickNode MCP Server for LangChainGive LangChain instant access to 18 tools to Create Kv List, Create Kv Set, Create Stream, and more

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

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect QuickNode through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The QuickNode MCP Server for LangChain is a standout in the Ship It category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "quicknode": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using QuickNode, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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

About 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.

LangChain's ecosystem of 500+ components combines seamlessly with QuickNode through native MCP adapters. Connect 18 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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.

The QuickNode MCP Server exposes 18 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 QuickNode tools available for LangChain

When LangChain connects to QuickNode through Vinkius, your AI agent gets direct access to every tool listed below — spanning web3, ethereum, rpc, 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 kv list on QuickNode

Create a new KV Store list

create

Create kv set on QuickNode

Create a KV Store key-value pair

create

Create stream on QuickNode

Create a new QuickNode stream

create

Create webhook on QuickNode

Create a webhook from a template

delete

Delete kv set on QuickNode

Delete a KV Store key-value pair

delete

Delete stream on QuickNode

Delete a QuickNode stream

delete

Delete webhook on QuickNode

Delete a QuickNode webhook

get

Get kv list on QuickNode

Retrieve items from a KV Store list

get

Get kv set on QuickNode

Retrieve a value from KV Store sets

get

Get stream on QuickNode

Retrieve details of a specific QuickNode stream

list

List streams on QuickNode

List all active QuickNode streams

list

List webhooks on QuickNode

Retrieve all QuickNode webhooks

rpc

Rpc eth blocknumber on QuickNode

Returns the number of the most recent block

rpc

Rpc eth call on QuickNode

Executes a new message call immediately without creating a transaction

rpc

Rpc eth getlogs on QuickNode

Returns an array of all logs matching a given filter object

rpc

Rpc eth gettransactionreceipt on QuickNode

Returns the receipt of a transaction by hash

update

Update kv list on QuickNode

Add or remove items from a KV Store list

update

Update stream on QuickNode

Update an existing QuickNode stream

Connect QuickNode to LangChain via MCP

Follow these steps to wire QuickNode into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 18 tools from QuickNode via MCP

Why Use LangChain with the QuickNode MCP Server

LangChain provides unique advantages when paired with QuickNode through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine QuickNode MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across QuickNode queries for multi-turn workflows

QuickNode + LangChain Use Cases

Practical scenarios where LangChain combined with the QuickNode MCP Server delivers measurable value.

RAG with live data: combine QuickNode tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query QuickNode, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain QuickNode tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every QuickNode tool call, measure latency, and optimize your agent's performance

Example Prompts for QuickNode in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with QuickNode immediately.

"List all my active QuickNode streams."

"Create a new webhook for EVM wallet filtering using the template 'evmWalletFilter'."

"What is the current block number on the network?"

Troubleshooting QuickNode MCP Server with LangChain

Common issues when connecting QuickNode to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

QuickNode + LangChain FAQ

Common questions about integrating QuickNode MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.