How to Use the DefiLlama (DeFi Analytics) MCP in Google ADK

Q: How do I initialize DefiLlama (DeFi Analytics) in Google ADK?

Wrap StreamableHttpServerParameters inside McpToolset to register the MCP server. Pass that object to the tools list in your LlmAgent.

Q: Can Google ADK filter which DefiLlama (DeFi Analytics) tools are active?

Pass an array of specific strings to the toolnames parameter. That hides irrelevant endpoints from the LLM.

Q: Does DefiLlama (DeFi Analytics) work with Google ADK long context?

Gemini ingests the massive JSON blobs from getpoolhistoricaldata easily. The model processes the entire array without chunking.

Q: How do I track specific token prices via MCP?

The getcurrentprices endpoint takes a chain and address format. Your agent formats the request and parses the returned valuation.

Feed live protocol TVL and DEX volumes directly into your Google ADK enterprise agents.

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Connect DefiLlama (DeFi Analytics) MCP to Google ADK

Create your Vinkius account to connect DefiLlama (DeFi Analytics) 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 DefiLlama (DeFi Analytics) with Google ADK

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Feed Google ADK massive DeFi datasets

`get_historical_tvl_global` and `get_dex_volumes_global` push years of blockchain liquidity data right into Gemini's million-token context window. Engineers pass `McpToolset` to the `LlmAgent` and the model reads the entire market history at once. Enterprise setups usually require joining this data with internal tables. The agent pulls DefiLlama records via HTTP transport, then cross-references those stablecoin volumes against your proprietary BigQuery datasets.

Track capital rotation

`get_bridge_volume_chain` exposes exactly where money moves across Layer 2 networks. Agents running on Google Cloud poll this MCP endpoint continuously without hitting standard rate limits. Managing risk means knowing stablecoin distribution. `get_all_stablecoins` combined with `get_stablecoin_market_cap_chain` lets your Vertex AI models calculate exact market share metrics across specific ecosystems.

Map yield opportunities

`get_all_pools` grabs current APY numbers for thousands of smart contracts in seconds. Users restrict the agent's focus using the `tool_names` filter if they only want it analyzing specific yields. Charting requires accurate points. `get_price_chart` feeds raw chronological arrays to your agent, which then formats the output for internal dashboards or trading algorithms.

Setup guide

Set up DefiLlama (DeFi Analytics) 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 DefiLlama (DeFi Analytics) 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="DefiLlama (DeFi Analytics)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DefiLlama (DeFi Analytics) 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 DefiLlama. 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 DefiLlama (DeFi Analytics) MCP in Google ADK

Wrap `StreamableHttpServerParameters` inside `McpToolset` to register the MCP server. Pass that object to the `tools` list in your `LlmAgent`.

Pass an array of specific strings to the `tool_names` parameter. That hides irrelevant endpoints from the LLM.

Gemini ingests the massive JSON blobs from `get_pool_historical_data` easily. The model processes the entire array without chunking.

The `get_current_prices` endpoint takes a chain and address format. Your agent formats the request and parses the returned valuation.

Vinkius routes your TVL and APY queries through a zero-trust proxy. Authentication happens via one endpoint token, leaving no trace of your internal GCP architecture.

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