How to Use the Flux Markets MCP in CrewAI

Deploy a specialized agent crew to analyze energy markets using the Flux Markets MCP Server and CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Flux Markets MCP to CrewAI

Create your Vinkius account to connect Flux Markets 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 Flux Markets with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Role-based energy research teams

Assign a researcher agent to pull data using `get_historical_tickers` while a secondary analyst agent processes the results. CrewAI coordinates the handoff between these specialized roles. The research agent gathers the raw numbers. The analyst agent then converts that data into actionable summaries for your team.

Automated product and symbol discovery

Keep your crew up-to-date by using `list_products` and `list_symbols` to scan for new energy listings. The agents automatically adjust their focus when new data appears. This keeps your operations current. You don't need to manually update your agents when the market changes.

Market snapshot and reporting

Task your crew with generating daily reports using `get_market_snapshot` and `get_officials`. The agents collaborate to ensure the report covers all necessary market benchmarks. One agent acts as the monitor, checking for anomalies in the snapshot. A second agent writes the report based on those findings.

Setup guide

Set up Flux Markets 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 Flux Markets tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Flux Markets server URL directly into your Agent definition. Once added, your crew members can share access to these tools and collaborate on market analysis.

Yes. CrewAI allows multiple agents to share memory and tool access. You can have one agent fetch data with `get_live_tickers` and another agent act on that info.

Absolutely. You can give the manager agent access to all Flux Markets tools. It then delegates specific tasks to subordinate agents based on the market requirements.

Your agent sessions are isolated. The Flux Markets server only processes the specific energy market queries requested by your crew during active tasks.

Vinkius manages the infrastructure for your MCP server. It handles the request load from your agent crew while maintaining a stable connection to the underlying energy data.

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