QuickNode MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to QuickNode through Vinkius, pass the Edge URL in the `mcps` parameter and every QuickNode tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The QuickNode MCP Server for CrewAI 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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="QuickNode Specialist",
    goal="Help users interact with QuickNode effectively",
    backstory=(
        "You are an expert at leveraging QuickNode tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in QuickNode "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 18 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, QuickNode becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call QuickNode tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 18 tools from QuickNode

Why Use CrewAI with the QuickNode MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with QuickNode through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

QuickNode + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries QuickNode for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries QuickNode, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain QuickNode tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries QuickNode against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for QuickNode in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

QuickNode + CrewAI FAQ

Common questions about integrating QuickNode MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.