How to Use the CoinLore MCP in Google ADK

Q: Can I limit the CoinLore tools exposed to Google ADK?

You can use the optional toolnames filter. This restricts the agent to only the specific tools it needs for its assigned tasks.

Connect CoinLore to Google ADK to process live crypto data inside your Gemini-powered enterprise infrastructure.

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Connect CoinLore MCP to Google ADK

Create your Vinkius account to connect CoinLore 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 CoinLore with Google ADK

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Integrate CoinLore with Google ADK

Your agent queries `list_assets` and `get_coin_info` to populate its context window with current coin data. It bridges the gap between raw market feeds and your Google Cloud data pipelines. By running this on Google ADK, you leverage the 1M+ token capacity of Gemini. The agent holds vast amounts of market data in memory, making it ready for complex reasoning tasks.

Run market stats through Google ADK

Use `get_global_stats` or `get_movers` to get a snapshot of the current market state. Your agent processes these stats to generate reports or trigger alerts within your existing BigQuery environment. This MCP Server provides the precise data your agent needs to keep its knowledge base current. You don't have to manage external data pipelines for crypto prices anymore.

Trace social metrics with Google ADK

Your agent pulls social media sentiment numbers using `get_social_stats`. It correlates this data with price movements, providing a more complete picture of asset performance. Google ADK handles the tool execution natively. You can even restrict what the agent sees by applying a filter to the toolset, keeping your agent focused on specific market segments.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CoinLore. 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 CoinLore MCP in Google ADK

Use the McpToolset class with your server URL. You then pass this toolset into your LlmAgent to start querying the data.

Yes, it supports both Stdio and HTTP transports. You choose the one that fits your Google Cloud deployment architecture best.

You can use the optional tool_names filter. This restricts the agent to only the specific tools it needs for its assigned tasks.

Yes, Gemini models handle the large JSON responses from CoinLore easily. You can feed entire market history blocks into the context window.

We use our V8 sandbox to isolate your requests. Only public ticker and OHLCV data is handled, ensuring no private keys or internal metadata ever touch the network.

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