Bring Web3
to LangChain
Learn how to connect QuickNode to LangChain 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 SubscribersCompatible with every major AI agent and IDE
Gemini
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_streamandlist_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_listandcreate_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 a new KV Store list
Create a KV Store key-value pair
Create a new QuickNode stream
Create a webhook from a template
Delete a KV Store key-value pair
Delete a QuickNode stream
Delete a QuickNode webhook
Retrieve items from a KV Store list
Retrieve a value from KV Store sets
Retrieve details of a specific QuickNode stream
List all active QuickNode streams
Retrieve all QuickNode webhooks
Returns the number of the most recent block
Executes a new message call immediately without creating a transaction
Returns an array of all logs matching a given filter object
Returns the receipt of a transaction by hash
Add or remove items from a KV Store list
Update an existing QuickNode stream
Why LangChain?
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.
- —
The largest ecosystem of integrations, chains, and agents. combine QuickNode MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across QuickNode queries for multi-turn workflows
QuickNode in LangChain
QuickNode and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect QuickNode to LangChain 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.
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 |
Why teams choose Vinkius for QuickNode in LangChain
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 LangChain 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.
* 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
How Vinkius secures
QuickNode for LangChain
Every tool call from LangChain to the QuickNode MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 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.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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