How to Use the MACD & RSI Oscillator Engine MCP in CrewAI

Q: How do I give an agent access to the MACD & RSI Oscillator Engine in CrewAI?

The easiest way is to pass the server URL into the mcps parameter when defining your Agent. CrewAI will automatically connect and equip the agent with the calculatemacdrsi tool.

Give your CrewAI agents the ability to perform technical analysis. Assign a Quant Agent to run MACD and RSI calculations.

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Connect MACD & RSI Oscillator Engine MCP to CrewAI

Create your Vinkius account to connect MACD & RSI Oscillator Engine 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 MACD & RSI Oscillator Engine with CrewAI

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Assign a Dedicated Quant Agent

This is how you use CrewAI effectively. Create a 'Quant Analyst' agent and give it one job: running the `calculate_macd_rsi` tool. It takes in raw price data and outputs clean indicator values. A 'Trader' agent can then use the Quant's output to make decisions. This division of labor keeps your crew organized and your logic clean. It's a core principle of building effective multi-agent systems.

Run Analysis in Sequence or Parallel

Build a sequential crew where a 'Data Fetcher' agent grabs prices, passes them to the 'Quant Analyst' with this MCP tool, who then hands off a signal to a 'Notifier' agent. Or, run things in parallel. Have multiple Quant agents analyze different assets at the same time, all using the same `calculate_macd_rsi` tool. The manager agent waits for all of them to report back before summarizing the market picture.

Equip Your CrewAI Team

Adding this tool to your crew is straightforward. You can pass the MCP Server URL directly in your Agent's definition. CrewAI handles the connection and makes the tool available for that agent to use. There's no complex setup. You decide which agent needs to do the math, give it the tool, and let it get to work. Your agents are instantly more capable.

Setup guide

Set up MACD & RSI Oscillator Engine 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 MACD & RSI Oscillator Engine tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent MACD & RSI Oscillator Engine 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="MACD & RSI Oscillator Engine Analyst",
        goal="Access and analyze MACD & RSI Oscillator Engine data via MCP.",
        backstory="Expert analyst with direct MACD & RSI Oscillator Engine access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent MACD & RSI Oscillator Engine 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 →

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Common questions about MACD & RSI Oscillator Engine MCP in CrewAI

The easiest way is to pass the server URL into the `mcps` parameter when defining your Agent. CrewAI will automatically connect and equip the agent with the `calculate_macd_rsi` tool.

Yes, absolutely. Each agent can call the tool independently. You could have one agent analyzing a 1-hour chart and another analyzing a 1-day chart of the same asset, simultaneously.

The tool returns a string containing the structured results. The agent that called the tool can then add this output to the shared context, making it available for other agents in the crew to use in their own tasks.

Yes, it's designed for it. The tool is deterministic and stateless. It takes a price array and parameters, and it returns indicator values. It's a reliable building block for any autonomous analysis or trading crew.

Your price arrays are the only data this server touches. Vinkius uses ephemeral V8 isolates for every request, meaning the memory space for your calculation is created on-demand and destroyed instantly after. Nothing persists.

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