How to Use the NMKR Cardano MCP in Google ADK

Q: How do I configure NMKR Cardano with Google ADK?

Install google-adk and initialize a McpToolset. Pass your Vinkius endpoint URL into StreamableHttpServerParameters. Assign this toolset to your LlmAgent to expose the NMKR tools.

Q: Can Google ADK filter the NMKR Cardano tools?

Yes. You can use the toolnames parameter to restrict access. If you only want the agent to check balances, restrict it to getmintcouponbalance and block the metadata tools.

Q: Why use NMKR Cardano with Google ADK instead of raw scripts?

Gemini can ingest the raw JSON from getnftdetails and instantly write BigQuery insertion statements. You skip the custom ETL pipeline and let the agent handle the data transformation.

Q: Does this MCP Server support reading specific NFT metadata?

Yes. The getnftdetails tool fetches the exact traits and IPFS hashes for a given token. Your agent can read this to verify the asset matches your local database.

Q: How does this MCP setup protect my project discount data?

The server fetches your pricing tiers from getprojectdiscounts over a zero-trust connection. Vinkius destroys the execution environment the moment the HTTP transport closes. Your enterprise discount structures are never stored at rest.

Feed NMKR Cardano project data directly into your Google ADK pipelines to manage NFT assets and analyze payout structures with Gemini.

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Connect NMKR Cardano MCP to Google ADK

Create your Vinkius account to connect NMKR Cardano 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 NMKR Cardano with Google ADK

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BigQuery Sync via MCP Server

Enterprise teams need on-chain metrics tied to their internal analytics. Your Gemini agent queries `get_project_counts` and `list_project_nfts` to pull your current Cardano asset inventory. It then formats this data and pipes it straight into BigQuery for your finance team. Because Gemini handles massive context windows, you can dump the entire output of `list_subcustomers` and `list_payout_wallets` into a single prompt. The agent maps the relationships between sub-accounts and their revenue splits without losing the thread.

High-Volume Mint Preparation

Large NFT drops require precise cost management. The agent uses `get_mint_coupon_balance` to check your available NMKR credits. It pairs this with `get_project_discounts` to calculate the exact overhead for your upcoming collection. You never want to push a massive batch of broken assets. The agent runs `validate_nft_metadata` on your local files before execution. It reads the validation results and flags any CIP-25 violations in your Google Cloud logging dashboard.

Complex Payout Auditing

Managing royalty distributions across multiple creators gets messy. The agent pulls the exact routing logic using `list_split_addresses` and cross-references it with `list_vesting_addresses`. This gives you a clear view of where every ADA will flow post-mint. You can restrict which tools your Google ADK agent accesses. By applying a `tool_names` filter, you can build a dedicated auditing agent that only has permission to read these financial endpoints, keeping it strictly separated from asset management.

Setup guide

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

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Common questions about NMKR Cardano MCP in Google ADK

Install `google-adk` and initialize a `McpToolset`. Pass your Vinkius endpoint URL into `StreamableHttpServerParameters`. Assign this toolset to your `LlmAgent` to expose the NMKR tools.

Yes. You can use the `tool_names` parameter to restrict access. If you only want the agent to check balances, restrict it to `get_mint_coupon_balance` and block the metadata tools.

Gemini can ingest the raw JSON from `get_nft_details` and instantly write BigQuery insertion statements. You skip the custom ETL pipeline and let the agent handle the data transformation.

Yes. The `get_nft_details` tool fetches the exact traits and IPFS hashes for a given token. Your agent can read this to verify the asset matches your local database.

The server fetches your pricing tiers from `get_project_discounts` over a zero-trust connection. Vinkius destroys the execution environment the moment the HTTP transport closes. Your enterprise discount structures are never stored at rest.

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