Bring Web3
to LlamaIndex
Learn how to connect QuickNode to LlamaIndex 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 LlamaIndex?
LlamaIndex agents combine QuickNode tool responses with indexed documents for comprehensive, grounded answers. Connect 18 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
- —
Data-first architecture: LlamaIndex agents combine QuickNode tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain QuickNode tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query QuickNode, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what QuickNode tools were called, what data was returned, and how it influenced the final answer
QuickNode in LlamaIndex
QuickNode and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect QuickNode to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query QuickNode tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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