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How to Use the Zerion (DeFi Portfolio) MCP in CrewAI

Run multi-agent DeFi analysis with CrewAI and the Zerion (DeFi Portfolio) MCP Server.

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CrewAI

Connect Zerion (DeFi Portfolio) MCP to CrewAI

Create your Vinkius account to connect Zerion (DeFi Portfolio) 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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Collaborative DeFi Research with MCP Server

You can assign agents specialized roles. Agent A could research supported blockchains using `list_chains`, while Agent B uses that list to check real-time gas estimates via `list_gas_prices`. The shared memory allows them to build on each other's findings. This setup lets you simulate complex market analysis, something far beyond a single API call.

Automated Portfolio Auditing with CrewAI

Build an automated audit crew. One agent checks the total value using `get_wallet_portfolio`. A second agent drills down into individual NFT holdings using `get_wallet_nft_collections`. The moderator agent then compiles all this data for a final report. This role-based specialization makes monitoring DeFi assets much more systematic than manual querying.

Comprehensive Transaction Analysis with CrewAI

For deep dives, use the `get_wallet_transactions` tool. You can assign an agent to fetch a history for one wallet and then pass that data chunk to a second agent tasked only with identifying potential DeFi arbitrage opportunities. This sequence of specialized tools lets you analyze raw ledger data effectively.

Setup guide

Set up Zerion (DeFi Portfolio) MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Zerion (DeFi Portfolio) tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

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

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

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Single dashboard

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

Common questions about Zerion (DeFi Portfolio) MCP in CrewAI

You pass the MCP Server URL directly to your agents in `mcps`. The crew can then run specialized tools, allowing different roles—like a 'Researcher' or an 'Analyst'—to collaborate on DeFi data.
The server supports tracking fungible tokens, unique NFTs (`get_nft`), and listing available decentralized applications with `list_dapps`. It’s a full-spectrum coverage.
Yes. You can set up an agent to use the bulk tools, such as `get_wallet_set_positions`, which takes multiple wallet addresses and returns aggregated DeFi data.
It handles ledger details, token metadata, gas estimates, transaction history, and core financial metrics like realized/unrealized gains. This is pure DeFi intelligence.
Absolutely. You can assign a dedicated agent to run `get_swap_quotes`. It pulls both same-chain and cross-chain bridge quote data, giving your crew the necessary market context.

Start using the Zerion (DeFi Portfolio) MCP today

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Built & Managed by Vinkius 30s setup 16 tools

We've already built the connector for Zerion (DeFi Portfolio). Just plug in your AI agents and start using Vinkius.

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