How to Use the Meld MCP in Google ADK

Q: How do I configure Google ADK to expose the Meld MCP Server tools?

Use McpToolset with the Vinkius HTTP URL, then pass it to the tools parameter of your LlmAgent. The Gemini model will automatically discover the tools.

Q: Can I filter which Meld tools are available to my Google ADK agent?

Yes, you can use the toolnames filter when initializing the toolset. This lets you hide tools like listwallets while keeping public tools like getexchangerates active.

Q: How does Google ADK handle Gemini's long-context window when querying Meld?

Gemini easily holds the large JSON payloads returned by listtransactions. The agent can analyze thousands of lines of transaction history without running out of memory.

Feed real-time multi-chain data directly into your Gemini enterprise agents using the Meld MCP Server and Google ADK.

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Connect Meld MCP to Google ADK

Create your Vinkius account to connect Meld 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 Meld with Google ADK

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Enterprise ledger analysis

Stop wasting time writing glue code between blockchain nodes and BigQuery. This MCP Server lets your Gemini agent pull raw ledger data directly into its massive context window for instant analysis. By invoking `list_transactions` and `get_account_info`, your agent can scan hundreds of recent transfers, cross-reference them with your enterprise database, and flag anomalies in seconds.

Dynamic multi-chain asset discovery

Tracking digital assets across multiple isolated chains is a mess. This integration solves that by giving your Gemini agent a single interface to query network states. The agent uses `list_networks` to map active chains, then calls `get_asset` to pull specific token metadata. This feeds clean, structured data directly into your Vertex AI workflows.

Real-time pricing pipelines for Google ADK

Building financial agents means you need accurate, live conversion rates. Instead of relying on stale database entries, your agent pulls live market rates directly during a user conversation. By combining `get_exchange_rates` with `list_wallets`, the agent calculates the total value of all linked accounts in real time. It can then export these calculations directly to a Google Sheet or BigQuery table.

Setup guide

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

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Common questions about Meld MCP in Google ADK

Use `McpToolset` with the Vinkius HTTP URL, then pass it to the `tools` parameter of your `LlmAgent`. The Gemini model will automatically discover the tools.

Yes, you can use the `tool_names` filter when initializing the toolset. This lets you hide tools like `list_wallets` while keeping public tools like `get_exchange_rates` active.

Gemini easily holds the large JSON payloads returned by `list_transactions`. The agent can analyze thousands of lines of transaction history without running out of memory.

Yes. Google ADK supports both transport methods. For production cloud deployments, we recommend using the streamable HTTP transport to connect to your managed MCP Server endpoint.

Yes. Your blockchain wallet addresses and transaction hashes are processed within secure, ephemeral V8 isolates. No transaction data is ever persisted on the host, maintaining strict enterprise compliance.

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