How do I get an NMKR Studio API Key?

Log in to your NMKR Studio account and go to the API section in your profile settings to generate or copy your key.

Can I see the sales progress of my NFT collection?

Yes! Use the `get_project_counts` tool with your Project UID to see how many NFTs have been sold, reserved, or remain free.

What does the metadata validation tool do?

The `validate_nft_metadata` tool checks if your NFT metadata follows the CIP-25 standard for Cardano, ensuring it will display correctly on marketplaces and wallets.

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

Name: NMKR Cardano
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to NMKR Cardano through Vinkius, pass the Edge URL in the `mcps` parameter and every NMKR Cardano tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="NMKR Cardano Specialist",
    goal="Help users interact with NMKR Cardano effectively",
    backstory=(
        "You are an expert at leveraging NMKR Cardano tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in NMKR Cardano "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, NMKR Cardano becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call NMKR Cardano tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from NMKR Cardano

Why Use CrewAI with the NMKR Cardano MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with NMKR Cardano through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

NMKR Cardano + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries NMKR Cardano for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries NMKR Cardano, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain NMKR Cardano tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries NMKR Cardano against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

NMKR Cardano MCP Tools for CrewAI (10)

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

get_mint_coupon_balance

Check minting coupon balance

get_nft_details

Get specific NFT metadata

get_project_counts

Get project asset metrics

get_project_discounts

List active project discounts

list_payout_wallets

List all registered payout wallets

list_project_nfts

List NFTs in a project

list_split_addresses

List revenue split addresses

list_subcustomers

List sub-customers for an account

list_vesting_addresses

List vesting/staking addresses

validate_nft_metadata

Validate NFT metadata

Example Prompts for NMKR Cardano in CrewAI

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

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

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

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

Troubleshooting NMKR Cardano MCP Server with CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

NMKR Cardano + CrewAI FAQ

Common questions about integrating NMKR Cardano MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.