How to Use the Twelve Data MCP in CrewAI

Q: How do I automate market research with Twelve Data and CrewAI?

Assign a 'Research Agent' to use getcompanyprofile to pull fundamentals. Then, assign an 'Analysis Agent' that uses getmacd on those results. The crew coordinates the entire operation.

Q: What is the best way to get real-time pricing with Twelve Data and CrewAI?

Use the dedicated 'Pricing Agent' which calls getrealtimeprice. This agent can then pass that live data to a secondary analysis agent for immediate signal checking.

Build autonomous research teams analyzing markets with Twelve Data using CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Twelve Data MCP to CrewAI

Create your Vinkius account to connect Twelve Data 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 Twelve Data with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate technical analysis reports

Set up a team where one agent gets the raw data, and another analyzes it. Agent A calls `get_time_series` for historical OHLCV candle data. Agent B then uses `get_rsi` to generate an overbought/oversold report. The monitor agent watches this whole process, ensuring that both fetching and analysis steps complete successfully before the final action is logged.

Manage multi-asset research pipelines

A dedicated agent handles asset discovery. It first calls `get_stock_list` for available stocks. Then a second, specialized agent uses `get_crypto_list` to check related crypto pairs. The crew's shared memory ensures that the findings from listing stocks are immediately passed to the analysis phase without manual intervention.

Execute complex pricing comparisons

One agent researches currency markets, calling `get_forex_list`. A second agent then uses `get_exchange_rate` on specific pairs. The specialized comparison agent synthesizes this into a final report. The crew can run these steps sequentially or hierarchically, building sophisticated financial intelligence without you writing complex state management code.

Setup guide

Set up Twelve Data 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 Twelve Data tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Twelve Data 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 Twelve Data. 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 Twelve Data 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 Twelve Data MCP in CrewAI

Assign a 'Research Agent' to use `get_company_profile` to pull fundamentals. Then, assign an 'Analysis Agent' that uses `get_macd` on those results. The crew coordinates the entire operation.

Yes. You can set up a workflow where one agent fetches stock data via `get_quote`, and another compares it against forex rates fetched by `get_exchange_rate` for an apples-to-apples view.

The specialized agents handle this. One agent can list available stocks (`get_stock_list`), while another simultaneously checks crypto availability using `get_crypto_list` for a broad overview.

Use the dedicated 'Pricing Agent' which calls `get_real_time_price`. This agent can then pass that live data to a secondary analysis agent for immediate signal checking.

The server accesses public financial market metrics, including symbol lists, OHLCV candle data, and technical indicator values. No private user information is involved.

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