How to Use the Bitquery (Web3 Blockchain GraphQL APIs) MCP in CrewAI

Q: How do I filter Bitquery (Web3 Blockchain GraphQL APIs) tools for specific CrewAI agents?

Use the toolfilter option in the CrewAI MCP config. This ensures only the agent that needs queryv1 or queryv2 has access to them.

Q: Can CrewAI use Bitquery (Web3 Blockchain GraphQL APIs) for automated monitoring?

You can set up a crew that runs on a loop. It uses queryv2 to check for events and takes action based on the results.

Deploy autonomous agent crews that analyze blockchain data using Bitquery and CrewAI.

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Connect Bitquery (Web3 Blockchain GraphQL APIs) MCP to CrewAI

Create your Vinkius account to connect Bitquery (Web3 Blockchain GraphQL APIs) 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 Bitquery (Web3 Blockchain GraphQL APIs) with CrewAI

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Auth setup for CrewAI agents

The `generate_token` tool provides the credential your agents need to talk to Bitquery. You can run this once at the start of a crew mission. Once the token is in memory, every agent in the crew shares access. This allows your research and action agents to work from the same authenticated session.

Historical research in CrewAI

Your research agent uses `query_v1` to extract data from historical blocks. It gathers facts for the rest of the crew to process. Since CrewAI supports shared memory, the analysis agent sees the results immediately. There is no need to manually pass data between the researchers and the analysts.

Live streaming for CrewAI crews

The `query_v2` tool lets your agents monitor live chain events like `Transfers` or `Calls`. It turns your static crew into a real-time monitoring system. Your moderator agent watches the stream for specific events. When one occurs, it triggers the action agent to perform a pre-defined task.

Setup guide

Set up Bitquery (Web3 Blockchain GraphQL APIs) 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 Bitquery (Web3 Blockchain GraphQL APIs) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Bitquery (Web3 Blockchain GraphQL APIs) 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="Bitquery (Web3 Blockchain GraphQL APIs) Analyst",
        goal="Access and analyze Bitquery (Web3 Blockchain GraphQL APIs) data via MCP.",
        backstory="Expert analyst with direct Bitquery (Web3 Blockchain GraphQL APIs) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Bitquery (Web3 Blockchain GraphQL APIs) 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 Bitquery. 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 Bitquery (Web3 Blockchain GraphQL APIs) MCP in CrewAI

Use the `tool_filter` option in the CrewAI MCP config. This ensures only the agent that needs `query_v1` or `query_v2` has access to them.

Yes, you can assign these tools to a manager agent or individual workers. The crew will manage the execution order autonomously.

You can set up a crew that runs on a loop. It uses `query_v2` to check for events and takes action based on the results.

Yes, CrewAI can connect to this server via stdio, SSE, or Streamable HTTP. Choose the transport that fits your deployment.

Vinkius runs this as an ephemeral server. Your query history and access tokens are never logged or stored permanently, providing a secure boundary for your autonomous operations.

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