How do I find my AEGIS Bearer Token?

Bearer tokens are managed within your AEGIS platform settings under the API or Integrations section. If you don't have access, contact your AEGIS Administrator or Account Manager.

Can I see real-time Mark-to-Market valuations?

Yes! Use the `get_valuations` tool. It retrieves the latest Mark-to-Market (MTM) data and settlement estimates for your active hedge positions.

Does this support trade automation from the SEF?

The `list_trades` tool allows your agent to audit trades executed on the AEGIS SEF (Swap Execution Facility), supporting straight-through processing into your internal systems.

AEGIS Hedging MCP Server for CrewAI 4 tools — connect in under 2 minutes

Name: AEGIS Hedging
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 4 Tools Framework

Connect your CrewAI agents to AEGIS Hedging through Vinkius, pass the Edge URL in the `mcps` parameter and every AEGIS Hedging tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="AEGIS Hedging Specialist",
    goal="Help users interact with AEGIS Hedging effectively",
    backstory=(
        "You are an expert at leveraging AEGIS Hedging tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in AEGIS Hedging "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 4 available tools "
        "and what they can do."
    ),
)

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

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About AEGIS Hedging MCP Server

Connect your AEGIS Hedging (Revenue Intelligence) account to your AI agent to orchestrate your energy risk management and trade lifecycle. From monitoring real-time Mark-to-Market (MTM) valuations to auditing trade entries and retrieving forward market curves, your agent handles complex energy data through natural conversation.

When paired with CrewAI, AEGIS Hedging becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call AEGIS Hedging tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Trade Lifecycle Management — List and audit trades executed on the AEGIS Marketplace and monitor their status in your system
Valuation & MTM — Retrieve current Mark-to-Market data and settlement estimates for your hedge positions
Market Intelligence — Access energy forward curves, historical price data, and daily market insights
Reporting & Compliance — Retrieve normalized data for revenue, taxes, and fees to support financial forecasting and SDR reporting
Strategic Oversight — Quickly identify portfolio risks or hedging opportunities based on current market volatility

The AEGIS Hedging MCP Server exposes 4 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect AEGIS Hedging to CrewAI via MCP

Follow these steps to integrate the AEGIS Hedging MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 4 tools from AEGIS Hedging

Why Use CrewAI with the AEGIS Hedging MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with AEGIS Hedging through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

AEGIS Hedging + CrewAI Use Cases

Practical scenarios where CrewAI combined with the AEGIS Hedging MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries AEGIS Hedging for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries AEGIS Hedging, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain AEGIS Hedging tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries AEGIS Hedging against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

AEGIS Hedging MCP Tools for CrewAI (4)

These 4 tools become available when you connect AEGIS Hedging to CrewAI via MCP:

check_api_version

Check AEGIS API version

get_forward_curves

Retrieve energy forward curves

get_valuations

Get real-time MTM valuations

list_trades

List energy hedge trades

Example Prompts for AEGIS Hedging in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with AEGIS Hedging immediately.

"List all energy trades executed in the last 30 days."

"Show me the current Mark-to-Market valuation for my natural gas portfolio."

"Retrieve the energy forward curves for the next 12 months."

Troubleshooting AEGIS Hedging MCP Server with CrewAI

Common issues when connecting AEGIS Hedging to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

AEGIS Hedging + CrewAI FAQ

Common questions about integrating AEGIS Hedging MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.