How to Use the Melo MCP in CrewAI

Deploy specialized agent crews with CrewAI. Melo gives your agents the on-chain intelligence required for autonomous market operations.

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Connect Melo MCP to CrewAI

Create your Vinkius account to connect Melo 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.

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Setup Melo with CrewAI

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Perplexity

Specialized agent research

Assign a researcher agent to scan the market using `list_neighborhoods`. It gathers the raw data needed for your crew's analysis. This separation of concerns lets agents focus on one task. The researcher finds the data, and the analyst makes the call.

Autonomous property monitoring

Set a monitor agent to watch for new entries. It uses `list_active_listings` to track the health of your target portfolios. When a new property appears, the crew reacts instantly. No human has to click a button to start the evaluation.

Shared market intelligence

Agents share the results of `get_market_insights` through a common memory buffer. This ensures every member of your crew sees the same data. Your agents work in concert. They build a complete picture of the market without repeating each other's work.

Setup guide

Set up Melo 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 Melo tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Melo 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="Melo Analyst",
        goal="Access and analyze Melo data via MCP.",
        backstory="Expert analyst with direct Melo access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Melo 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 Melo. 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 Melo MCP in CrewAI

Pass the Melo server URL to your agents in the crew definition. Each agent gains access to the tools it needs for its specific role.

CrewAI uses shared memory for your team. Once an agent retrieves `get_property` details, the rest of the crew can access that information instantly.

Yes. You can build a crew that researches, filters, and summarizes real estate data using Melo tools without any human in the loop.

Use the tool filtering feature in your agent setup. This restricts access so that only the analyst agent can trigger sensitive tools.

Melo fetches public on-chain metadata securely. Since your CrewAI agents run in your controlled environment, the data remains local to your operations.

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