How to Use the NMKR Cardano MCP in CrewAI
Run autonomous teams of specialized agents to manage your NMKR Cardano NFT operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NMKR Cardano MCP to CrewAI
Create your Vinkius account to connect NMKR Cardano to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-agent Cardano project auditing
Retrieving all assets within a specific NMKR project is handled by the `list_project_nfts` tool. In a CrewAI setup, this MCP Server allows your researcher agent to fetch this list, while your compliance agent analyzes the metadata for errors. This division of labor prevents a single agent from getting overwhelmed by large datasets. The crew works sequentially, passing the asset list from one specialized node to the next.
Automated discount checking with CrewAI
Listing active pricing tiers for your NMKR project is the job of the `get_project_discounts` tool. Your financial analyst agent in CrewAI can monitor these rates to calculate the most cost-effective times to execute large minting batches. Coordinating with a manager agent lets the analyst approve coupon purchases when discounts hit a specific threshold. This keeps your operational costs optimized without manual intervention.
Staking and vesting monitoring via CrewAI
Exposing active staking and vesting smart contract locations is done with the `list_vesting_addresses` tool. While your monitoring agent polls these addresses, a reporting agent compiles weekly distribution summaries for your team. By using this MCP Server with CrewAI's shared memory, the agents retain context across runs, recognizing when new vesting contracts are deployed. This ensures your tracking dashboard remains accurate without manual configuration.
Set up NMKR Cardano MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke NMKR Cardano tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="NMKR Cardano Analyst",
goal="Access and analyze NMKR Cardano data via MCP.",
backstory="Expert analyst with direct NMKR Cardano access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent NMKR Cardano transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="NMKR Cardano Analyst",
goal="Access and analyze NMKR Cardano data via MCP.",
backstory="Expert analyst with direct NMKR Cardano access.",
tools=mcp_tools,
)
task = Task(
description="List recent NMKR Cardano transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 CrewAI
Use it with your favorite AI tools
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