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How to Use the Bybit MCP in CrewAI

Equip your CrewAI agent teams with real-time Bybit market intelligence.

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Works with every AI agent you already use

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CrewAI

Connect Bybit MCP to CrewAI

Create your Vinkius account to connect Bybit 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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Divide and conquer market analysis with CrewAI

The `get_tickers` tool provides real-time market tickers across spot and futures. In a CrewAI setup, your researcher agent can pull this pricing data and pass it to your analyst agent for instant evaluation. This division of labor keeps your operations autonomous. While one agent monitors the overall market trend, another uses `get_open_interest` to track open positions on perpetual contracts, keeping the entire crew updated.

Monitor liquidation risks using an MCP Server

The `get_mark_price_kline` tool tracks historical mark prices used for liquidation calculations. Your risk-monitoring crew agent can check these price trends to flag potential liquidation zones for active contracts. By delegating this task to a specialized agent, your main execution agent can focus on tracking orderbooks via `get_orderbook`. CrewAI schedules these checks sequentially to keep your risk profiles fresh.

Filter trading pairs across multiple contracts

The `get_instruments` tool pulls active trading pairs filtered by symbol or base coin. Your discovery agent uses this list to scan for newly listed assets or high-volume pairs on Bybit. Once the discovery agent identifies a target, it hands the symbol over to the analysis agent to fetch candlestick trends via `get_kline`. This multi-agent pipeline operates entirely in the background without manual intervention.

Setup guide

Set up Bybit 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 Bybit tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

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

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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 Bybit MCP in CrewAI

Pass your Vinkius HTTP endpoint directly into the agent's `mcps` array during initialization to connect to the MCP server. CrewAI automatically discovers tools like `get_tickers` and exposes them to the agent.
Yes, use `MCPServerHTTP` from the MCP module in crewai along with a `tool_filter` to expose only specific tools like `get_orderbook` to your crew.
Your crew executes tasks sequentially or hierarchically. A researcher agent fetches data using `get_funding_history`, then passes the raw rates to an analyst agent.
This server supports stdio, SSE, and Streamable HTTP protocols, allowing your Python-based crew to connect over whichever transport fits your deployment.
Vinkius processes all Bybit queries in ephemeral, zero-trust MCP sandboxes. Your market data, trade history searches, and pricing queries are never saved or exposed to other users.

Start using the Bybit MCP today

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