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NMKR Cardano MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NMKR Cardano through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to NMKR Cardano "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in NMKR Cardano?"
    )
    print(result.data)

asyncio.run(main())
NMKR Cardano
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IAMAccess control
EU AI ActCompliant
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About NMKR Cardano MCP Server

Connect your NMKR Studio account to your AI agent and manage your Cardano NFT ecosystem through natural conversation using their powerful v2 API.

Pydantic AI validates every NMKR Cardano tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Asset Tracking — List and inspect all NFTs within your projects, filtered by state (free, reserved, sold).
  • Project Metrics — Retrieve real-time counts of sold and available NFTs and monitor active project discounts.
  • Financial Oversight — Access your registered payout wallets and check your minting coupon balances.
  • Customer Management — List and manage sub-customer profiles associated with your primary account.
  • Validation Tools — Verify the compliance of your NFT metadata against Cardano standards.
  • Advanced Wallet Features — Monitor active vesting (staking) and revenue split addresses.
  • Deep Inspection — Fetch complete metadata and current state for specific NFTs using their unique IDs.

The NMKR Cardano MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect NMKR Cardano to Pydantic AI via MCP

Follow these steps to integrate the NMKR Cardano MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from NMKR Cardano with type-safe schemas

Why Use Pydantic AI with the NMKR Cardano MCP Server

Pydantic AI provides unique advantages when paired with NMKR Cardano through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your NMKR Cardano integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your NMKR Cardano connection logic from agent behavior for testable, maintainable code

NMKR Cardano + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the NMKR Cardano MCP Server delivers measurable value.

01

Type-safe data pipelines: query NMKR Cardano with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple NMKR Cardano tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query NMKR Cardano and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock NMKR Cardano responses and write comprehensive agent tests

NMKR Cardano MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect NMKR Cardano to Pydantic AI via MCP:

01

get_mint_coupon_balance

Check minting coupon balance

02

get_nft_details

Get specific NFT metadata

03

get_project_counts

Get project asset metrics

04

get_project_discounts

List active project discounts

05

list_payout_wallets

List all registered payout wallets

06

list_project_nfts

List NFTs in a project

07

list_split_addresses

List revenue split addresses

08

list_subcustomers

List sub-customers for an account

09

list_vesting_addresses

List vesting/staking addresses

10

validate_nft_metadata

Validate NFT metadata

Example Prompts for NMKR Cardano in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with NMKR Cardano immediately.

01

"List all payout wallets registered in my NMKR account."

02

"What is the sales status for NFT project UID 'prj_12345'?"

03

"Show me the metadata for the NFT with ID 'nft_98765'."

Troubleshooting NMKR Cardano MCP Server with Pydantic AI

Common issues when connecting NMKR Cardano to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

NMKR Cardano + Pydantic AI FAQ

Common questions about integrating NMKR Cardano MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your NMKR Cardano MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect NMKR Cardano to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.