How to Use the Dune Analytics (Web3 SQL Analytics API) MCP in CrewAI

Q: Can I restrict which agents use Dune Analytics (Web3 SQL Analytics API) tools?

Yes. Use the toolfilter option to assign specific tools to specific agents. This keeps your research agents separate from your analysis agents.

Deploy a specialized agent crew for autonomous blockchain analysis using the Dune Analytics (Web3 SQL Analytics API) MCP Server.

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Connect Dune Analytics (Web3 SQL Analytics API) MCP to CrewAI

Create your Vinkius account to connect Dune Analytics (Web3 SQL Analytics API) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Dune Analytics (Web3 SQL Analytics API) with CrewAI

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Perplexity

Autonomous query research

Assign a dedicated agent to run `execute_query` for deep blockchain research. The agent handles the SQL logic while other crew members prepare the findings. This setup allows for continuous monitoring of on-chain activity. Your agents act on data as soon as the results are available.

Collaborative result analysis

Share memory across your crew so agents can analyze the output of `get_execution_results` together. One agent pulls the data, another interprets the financial impact. This specialized approach ensures high-quality output. The agents work in sequence to ensure every query is reviewed before a final decision is made.

Intervention and cancellation

Use `cancel_execution` to stop runaway queries if your monitor agent detects an issue. This keeps your API usage efficient and prevents wasted cycles. Your crew stays lean and responsive. You set the rules, and the agents execute them without needing your constant supervision.

Setup guide

Set up Dune Analytics (Web3 SQL Analytics API) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Dune Analytics (Web3 SQL Analytics API) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Dune Analytics (Web3 SQL Analytics API) Analyst",
    goal="Access and analyze Dune Analytics (Web3 SQL Analytics API) data via MCP.",
    backstory="Expert analyst with direct Dune Analytics (Web3 SQL Analytics API) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Dune Analytics (Web3 SQL Analytics API) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Dune Analytics (Web3 SQL Analytics API) Analyst",
        goal="Access and analyze Dune Analytics (Web3 SQL Analytics API) data via MCP.",
        backstory="Expert analyst with direct Dune Analytics (Web3 SQL Analytics API) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Dune Analytics (Web3 SQL Analytics API) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dune Analytics. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Dune Analytics (Web3 SQL Analytics API) MCP in CrewAI

Add the MCP server URL to your agent definition. The agents will automatically detect and list the tools for immediate use.

Yes. Use the `tool_filter` option to assign specific tools to specific agents. This keeps your research agents separate from your analysis agents.

They use shared memory to pass the execution ID between steps. One agent starts the query, and the next agent checks the status.

Yes. You can run multiple agents that trigger different queries concurrently. Each execution is tracked via its own unique ID.

The server operates in an ephemeral sandbox. Only your specific SQL inputs and the returned blockchain records are processed, with no logs saved on the server.

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