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Twelve Data MCP Server for CrewAI 16 tools — connect in under 2 minutes

Built by Vinkius GDPR 16 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Twelve Data Specialist",
    goal="Help users interact with Twelve Data effectively",
    backstory=(
        "You are an expert at leveraging Twelve Data 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 Twelve Data "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 16 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Twelve Data
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Twelve Data MCP Server

Connect Twelve Data financial API to any AI agent and access real-time stock quotes, cryptocurrency prices, forex rates, and professional technical indicators through natural language.

When paired with CrewAI, Twelve Data becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Twelve Data 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

  • Real-Time Quotes — Get current price, open, high, low, volume, and change for any stock
  • Historical Data — Retrieve OHLCV candlestick data from 1-minute to monthly intervals
  • Technical Analysis — Calculate SMA, EMA, RSI, MACD, Bollinger Bands, and Stochastic Oscillator
  • Market Scanning — Search and browse available stocks, crypto pairs, and forex instruments
  • Company Profiles — Access fundamental data including market cap, P/E ratio, and sector info
  • Currency Conversion — Get exchange rates and convert amounts between any currency pair

The Twelve Data MCP Server exposes 16 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 Twelve Data to CrewAI via MCP

Follow these steps to integrate the Twelve Data MCP Server with CrewAI.

01

Install CrewAI

Run pip install crewai

02

Replace the token

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

03

Customize the agent

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

04

Run the crew

Run python crew.py. CrewAI auto-discovers 16 tools from Twelve Data

Why Use CrewAI with the Twelve Data MCP Server

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

01

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

02

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

03

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

04

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

Twelve Data + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Twelve Data MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Twelve Data MCP Tools for CrewAI (16)

These 16 tools become available when you connect Twelve Data to CrewAI via MCP:

01

convert_currency

Convert an amount between currencies

02

get_bollinger_bands

Price touching upper band may indicate overbought, lower may indicate oversold. Get Bollinger Bands

03

get_company_profile

Get company profile and fundamentals

04

get_crypto_list

Can filter by exchange. List available crypto pairs

05

get_ema

EMA gives more weight to recent prices than SMA. Get Exponential Moving Average (EMA)

06

get_exchange_rate

Get currency exchange rate

07

get_forex_list

List available forex pairs

08

get_macd

Used for trend following and momentum. Get Moving Average Convergence Divergence (MACD)

09

get_quote

Get real-time stock quote

10

get_real_time_price

Faster and lighter than a full quote. Get current price only

11

get_rsi

Values above 70 indicate overbought, below 30 indicate oversold conditions. Get Relative Strength Index (RSI)

12

get_sma

Common periods: 20, 50, 200. Get Simple Moving Average (SMA)

13

get_stochastic

Values above 80 indicate overbought, below 20 indicate oversold. Get Stochastic Oscillator

14

get_stock_list

Can filter by exchange and partial symbol match. List available stocks

15

get_time_series

Supports intervals from 1min to 1month. Get historical OHLCV candle data

16

search_symbols

Can filter by instrument type and exchange. Search for financial instruments

Example Prompts for Twelve Data in CrewAI

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

01

"What's the current price of Apple stock?"

02

"Show me the RSI for Tesla on the daily chart."

03

"Convert 1000 USD to EUR."

Troubleshooting Twelve Data MCP Server with CrewAI

Common issues when connecting Twelve Data to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

Twelve Data + CrewAI FAQ

Common questions about integrating Twelve Data MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

Connect Twelve Data to CrewAI

Get your token, paste the configuration, and start using 16 tools in under 2 minutes. No API key management needed.