How to Use the AEGIS Hedging MCP in CrewAI

Deploy autonomous risk management teams with CrewAI. Give your agents direct access to AEGIS Hedging market data and trade logs.

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Connect AEGIS Hedging MCP to CrewAI

Create your Vinkius account to connect AEGIS Hedging 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 AEGIS Hedging with CrewAI

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Perplexity

Coordinate Trade Analysis Teams in CrewAI

A single agent gets confused trying to read the entire market. You fix this by building a dedicated crew where each member handles one specific slice of your energy portfolio. Assign an analyst agent to run `list_trades` and map your current positions. Meanwhile, a pricing agent calls `get_forward_curves` to grab the latest market data. They share their findings in memory to calculate your total exposure.

Monitor Real-Time Valuations via MCP

Risk management requires constant watching. You set up a monitor agent to pull numbers on a loop while a moderator agent decides if action is necessary. The monitor uses the `get_valuations` tool to check your mark-to-market status. If a position bleeds too much cash, it alerts the moderator. No human sits at a desk hitting refresh.

Validate Connectivity Before Execution

Complex hierarchical crews fail hard if their data sources drop offline mid-task. You prevent this by assigning a scout agent to verify infrastructure health first. The scout executes `check_api_version` to confirm the AEGIS connection is live. Once verified, it passes the green light to the heavy-lifting agents to start grabbing trade records.

Setup guide

Set up AEGIS Hedging 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 AEGIS Hedging tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius endpoint URL into the mcps array when defining your Agent. For granular control over which agent gets which tool, use MCPServerHTTP with a tool_filter.

They can, but you usually assign specific tools to specific roles. Your pricing agent handles market data while your audit agent handles trade lists, preventing them from stepping on each other.

The framework dumps the raw JSON into the crew's shared memory. Subsequent agents read that context and use it to inform their own tasks without needing to query the API again.

Streamable HTTP or SSE works perfectly. Vinkius provides the endpoint URL, and the framework negotiates the connection automatically.

We route your requests through an isolated sandbox that exists for milliseconds. Your mark-to-market numbers hit your Python environment and the Vinkius container immediately vanishes. Nobody else shares your runtime.

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