How to Use the Twelve Data MCP in LlamaIndex

Q: Can I query past financial configurations using Twelve Data with LlamaIndex?

Yes. By indexing the results from tools like getcompanyprofile, you build a searchable knowledge base. You can ask questions about previous API calls or market conditions without needing to re-run the exact tool.

Q: How do I use LlamaIndex to analyze forex rates?

You first get the list of available pairs using getforexlist. Then, you can index those pairings and ask natural language questions about them, referencing specific exchange rate data pulled via getexchangerate.

Index financial knowledge and run RAG applications using LlamaIndex and the MCP Server.

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 LlamaIndex

Create your Vinkius account to connect Twelve Data to LlamaIndex 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 LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Create a searchable index of market data with LlamaIndex.

The `get_company_profile` tool provides company fundamentals that can be indexed for semantic search. Instead of just calling it, you feed the output into your vector store, allowing you to query historical business context later. Later on, if a user asks about 'tech stocks with high revenue growth,' LlamaIndex searches the index created from `get_company_profile` results, grounding the answer in actual Twelve Data data.

Analyze technical indicators using LlamaIndex.

When you pull historical data using `get_time_series`, that output becomes part of your searchable knowledge base. You can then query this index to ask questions like, 'Which stocks listed in the index had an RSI value above 70 last month?' This is powerful because it lets you combine raw indicator values (like those from `get_stochastic`) with document context for deep analysis.

Manage crypto and forex data via LlamaIndex.

List available pairs first using `get_crypto_list` or `get_forex_list`. The resulting list of symbols can then be indexed. This allows you to build a knowledge base that answers questions like, 'What are the most frequently traded crypto pairs?' LlamaIndex stores this structured metadata so your agent doesn't just execute the call, but understands the scope and relationships between different financial instruments.

Setup guide

Set up Twelve Data MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Twelve Data MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Twelve Data tools.",
)
response = await agent.run("List recent Twelve Data data")

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 LlamaIndex

LlamaIndex indexes API outputs into a vector store. When you call `get_time_series`, the resulting OHLCV data is chunked and stored, allowing your agent to perform semantic searches over the raw historical numbers.

Yes. By indexing the results from tools like `get_company_profile`, you build a searchable knowledge base. You can ask questions about previous API calls or market conditions without needing to re-run the exact tool.

The server touches financial time-series data, company fundamentals, real-time quotes, and structured lists of symbols (stocks, crypto). All this is made queryable by the index.

LlamaIndex retrieves relevant chunks of data from its index. It doesn't just give you a file; it gives you an answer grounded in the specific time period and symbol requested during the `get_time_series` call.

You first get the list of available pairs using `get_forex_list`. Then, you can index those pairings and ask natural language questions about them, referencing specific exchange rate data pulled via `get_exchange_rate`.

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