How to Use the NMKR Cardano MCP in LlamaIndex

Q: How do I load NMKR Cardano MCP tools into LlamaIndex?

Install llama-index-tools-mcp. Create a BasicMCPClient pointing to the Vinkius URL, wrap it in McpToolSpec, and call totoollistasync().

Q: Can LlamaIndex search through my NMKR Cardano metadata?

Yes. By running getnftdetails across a collection, your agent embeds the asset traits. You can then run semantic queries against your own NFT project.

Q: Do I have to index the entire project at once?

No. You can use the allowedtools filter to restrict the agent. Give it access to just listsubcustomers if you only want to index account hierarchies.

Q: How does the agent handle invalid metadata formats?

Before indexing, you can instruct the agent to run validatenftmetadata. It checks the CIP-25 standard compliance and only embeds validated assets into your vector store.

Index your NMKR Studio projects into LlamaIndex to query Cardano NFT metadata and payout configurations via semantic search.

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Connect NMKR Cardano MCP to LlamaIndex

Create your Vinkius account to connect NMKR Cardano to LlamaIndex 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 LlamaIndex

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Perplexity

Build RAG applications over Cardano assets

You point LlamaIndex at `list_project_nfts` and `get_nft_details` to index your entire Cardano collection into a local vector store. Stop manually checking dashboards. The agent handles the ingestion pipeline. Now your knowledge base contains live on-chain data. You ask your agent which NFTs have specific traits. It queries the index instead of guessing. The MCP Server keeps the context grounded in actual NMKR API responses.

Query NMKR Cardano revenue structures

By exposing `list_payout_wallets` and `list_split_addresses` to your `FunctionAgent`, you turn raw financial routing into a searchable graph. Payout configurations get complicated fast. The agent maps the relationships automatically. You can ask the agent how funds are distributed for a specific project. It fetches the live addresses. The system indexes the rules and explains the exact percentage splits without requiring you to read the raw JSON.

Track minting metrics over time

Hook up `get_mint_coupon_balance` and `get_project_counts` to your LlamaIndex workflow to pull metrics on a schedule. The agent stores these data points alongside your internal documentation. When you need to know if a project is running out of coupons, you just ask. The agent cross-references the latest `get_project_discounts` data. It tells you exactly how much ADA you need to fund the next batch.

Setup guide

Set up NMKR Cardano MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all NMKR Cardano MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to NMKR Cardano tools.",
)
response = await agent.run("List recent NMKR Cardano data")

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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 NMKR. 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 NMKR Cardano MCP in LlamaIndex

Install `llama-index-tools-mcp`. Create a `BasicMCPClient` pointing to the Vinkius URL, wrap it in `McpToolSpec`, and call `to_tool_list_async()`.

Yes. By running `get_nft_details` across a collection, your agent embeds the asset traits. You can then run semantic queries against your own NFT project.

No. You can use the `allowed_tools` filter to restrict the agent. Give it access to just `list_subcustomers` if you only want to index account hierarchies.

Before indexing, you can instruct the agent to run `validate_nft_metadata`. It checks the CIP-25 standard compliance and only embeds validated assets into your vector store.

Vinkius hosts the MCP connection in a zero-trust sandbox. When LlamaIndex retrieves your `get_mint_coupon_balance`, the API token never leaves the isolated environment. The credit metrics are processed locally by your agent and never stored on our infrastructure.

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