How to Use the Bybit MCP in Google ADK

Q: Can Google ADK agents filter Bybit tools?

You can use a toolnames filter when initializing the toolset. This limits the agent to only the specific endpoints you want to expose.

Connect the Bybit MCP Server to your Google ADK environment to power Gemini agents with live financial metrics.

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Connect Bybit MCP to Google ADK

Create your Vinkius account to connect Bybit 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.

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Setup Bybit with Google ADK

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Sync Bybit data with your Google ADK agent

Fetch current instrument details using `get_instruments` to build your agent's knowledge base. Your agent can map these pairs to your existing data in BigQuery. Use this to keep your local records updated. Your agent queries the server whenever it needs the latest contract or spot pair configuration.

Technical analysis tools for Google ADK

Pull historical candlestick data with `get_kline` for complex pattern recognition. Your agent processes these sequences to identify trends over various time intervals. Integrate this with `get_mark_price_kline` to see how liquidation prices shift. This provides the context your agent needs for risk assessment.

Monitor market flow in Google ADK

Track the server time using `get_server_time` to ensure your requests are perfectly synced. Your agent uses this to verify the latency of incoming market updates. This keeps your agent's timeline aligned with the exchange. You'll have a consistent view of the market state at every step of your process.

Setup guide

Set up Bybit 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 Bybit 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="Bybit_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bybit tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Bybit MCP in Google ADK

You define an McpToolset using the server's HTTP URL. Pass this to your agent definition to grant it access to the full suite of market tools.

Yes. You can feed large sets of kline data into the agent's context window. Gemini will then analyze the price history provided by the server.

You can use a tool_names filter when initializing the toolset. This limits the agent to only the specific endpoints you want to expose.

The server supports standard HTTP and Stdio transports. You pick the one that fits your Google Cloud deployment strategy.

Your market data is handled in memory and never persisted. The server only processes public price, volume, and orderbook information.

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

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