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

Feed real-time multi-chain ledger data directly into your Google ADK pipelines with this dedicated MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Bitquery (Web3 Blockchain GraphQL APIs) MCP to Google ADK

Create your Vinkius account to connect Bitquery (Web3 Blockchain GraphQL APIs) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Bitquery (Web3 Blockchain GraphQL APIs) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

High-Volume Blockchain Joins via Google ADK

`query_v2` targets the streaming API to run complex joins across DEX trades, smart contract events, and token transfers. This tool lets your Gemini-powered agent process massive blocks of on-chain activity in one go. Integrating this with Google Cloud means you can pipe these complex GraphQL outputs straight into BigQuery. Your agent handles the heavy lifting of pulling the raw data, leaving you to focus on the analytics.

Direct Historical Lookups for Enterprise Agents

`query_v1` connects your agent to historical ledger records across 40 different blockchains via the MCP Server. This tool runs standard GraphQL queries to retrieve past block metrics, wallet balances, and transaction details. The framework exposes this tool to Gemini models, allowing them to parse years of transaction histories. Long-context reasoning takes this raw data and builds complete audit trails without hitting token limits.

Automated Authentication for Google Pipelines

`generate_token` exchanges your credentials for an active session token to keep your data pipeline running without manual intervention. This tool ensures the BITQUERY_ACCESS_TOKEN is refreshed and valid before any query executes. You register the server with your toolset, and the agent handles the OAuth handshake on startup. This workflow prevents authorization failures during long-running batch jobs on Google Cloud.

Setup guide

Set up Bitquery (Web3 Blockchain GraphQL APIs) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Bitquery (Web3 Blockchain GraphQL APIs) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Bitquery (Web3 Blockchain GraphQL APIs)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bitquery (Web3 Blockchain GraphQL APIs) tools via MCP.",
    tools=mcp_tools,
)

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Bitquery (Web3 Blockchain GraphQL APIs) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bitquery (Web3 Blockchain GraphQL APIs) MCP in Google ADK

You initialize the McpToolset with the server HTTP parameters and pass it to your LlmAgent. The model instantly gains access to all three GraphQL tools.

Yes, you can use the optional tool name filter during initialization. This restricts the agent to only the historical or streaming tool depending on your needs.

The agent sends network-specific GraphQL parameters through the query tools. This allows a single agent to jump between Bitcoin, Ethereum, and Solana data seamlessly.

Yes, this server supports both Stdio and HTTP transports. You can run the server locally or host it on Google Cloud Run.

Your API keys and tokens are stored in your private Google Secret Manager. The agent pulls them at runtime to generate session tokens, ensuring no credentials sit in plain text.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript