How to Use the Meld MCP in CrewAI

Deploy specialized agent crews in CrewAI using the Meld MCP server to monitor and act on blockchain data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Meld MCP to CrewAI

Create your Vinkius account to connect Meld 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.

GDPR Free for Subscribers

Setup Meld with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized asset analysis for CrewAI

Assign a dedicated researcher agent to query asset data using `list_assets`. The information is then shared across your crew for deeper financial analysis. This role-based approach keeps your agents focused. One handles data gathering, while another makes the decisions based on the result.

Synchronized network monitoring in CrewAI

Use `list_networks` to keep your agents informed about current blockchain status. The crew adjusts its strategy based on which networks are active or congested. It ensures your agents aren't working with stale data. They see the network landscape in real-time.

Autonomous transaction verification in CrewAI

Task a monitor agent with checking recent transactions via `list_transactions`. It reports back to the moderator agent if it spots anything requiring intervention. This creates a self-regulating system. You define the criteria for success and let the crew manage the execution loop.

Setup guide

Set up Meld MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Meld tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Meld Analyst",
    goal="Access and analyze Meld data via MCP.",
    backstory="Expert analyst with direct Meld access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Meld transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Meld Analyst",
        goal="Access and analyze Meld data via MCP.",
        backstory="Expert analyst with direct Meld access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Meld transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Meld. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Meld now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Meld MCP in CrewAI

Pass the Vinkius URL directly into your agent configuration. The MCP server tools will be available to the entire crew immediately.

Yes, CrewAI manages the shared memory. You can store the output of `get_account_info` so every agent in the crew has the same starting state.

It is. You can restrict tool access so only the manager agent can call `get_wallet_details` while others perform research tasks.

Meld tracks multiple networks simultaneously. Your agents can query different chains without needing separate configurations.

The server only touches public on-chain records like transaction logs and asset prices. Your sensitive credentials and private keys remain out of reach.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript