QuickNode MCP Server for LlamaIndexGive LlamaIndex instant access to 18 tools to Create Kv List, Create Kv Set, Create Stream, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add QuickNode as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The QuickNode MCP Server for LlamaIndex is a standout in the Ship It category — giving your AI agent 18 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to QuickNode. "
"You have 18 tools available."
),
)
response = await agent.run(
"What tools are available in QuickNode?"
)
print(response)
asyncio.run(main())
* 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.
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.
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.
The QuickNode MCP Server exposes 18 tools through the Vinkius. Connect it to LlamaIndex 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 LlamaIndex
When LlamaIndex 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 kv list on QuickNode
Create a new KV Store list
Create kv set on QuickNode
Create a KV Store key-value pair
Create stream on QuickNode
Create a new QuickNode stream
Create webhook on QuickNode
Create a webhook from a template
Delete kv set on QuickNode
Delete a KV Store key-value pair
Delete stream on QuickNode
Delete a QuickNode stream
Delete webhook on QuickNode
Delete a QuickNode webhook
Get kv list on QuickNode
Retrieve items from a KV Store list
Get kv set on QuickNode
Retrieve a value from KV Store sets
Get stream on QuickNode
Retrieve details of a specific QuickNode stream
List streams on QuickNode
List all active QuickNode streams
List webhooks on QuickNode
Retrieve all QuickNode webhooks
Rpc eth blocknumber on QuickNode
Returns the number of the most recent block
Rpc eth call on QuickNode
Executes a new message call immediately without creating a transaction
Rpc eth getlogs on QuickNode
Returns an array of all logs matching a given filter object
Rpc eth gettransactionreceipt on QuickNode
Returns the receipt of a transaction by hash
Update kv list on QuickNode
Add or remove items from a KV Store list
Update stream on QuickNode
Update an existing QuickNode stream
Connect QuickNode to LlamaIndex via MCP
Follow these steps to wire QuickNode into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the QuickNode MCP Server
LlamaIndex provides unique advantages when paired with QuickNode through the Model Context Protocol.
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 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the QuickNode MCP Server delivers measurable value.
Hybrid search: combine QuickNode real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query QuickNode to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying QuickNode for fresh data
Analytical workflows: chain QuickNode queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for QuickNode in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting QuickNode to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpQuickNode + LlamaIndex FAQ
Common questions about integrating QuickNode MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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