How to Use the Intrinio MCP in LlamaIndex

Q: Can LlamaIndex index the outputs of Intrinio search queries?

Yes. You can run searchcompanies to find a ticker, pull its details, and write that structured financial data directly into your vector index for future queries.

Q: How do I limit which Intrinio tools LlamaIndex can access?

You can use the allowedtools filter during initialization. This lets you restrict your agent to specific tools like getfinancials while blocking access to others using an MCP adapter configuration.

Index raw Intrinio financial data directly into LlamaIndex vector stores for accurate, context-grounded market analysis.

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Connect Intrinio MCP to LlamaIndex

Create your Vinkius account to connect Intrinio 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.

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Setup Intrinio with LlamaIndex

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Turn live Intrinio API data into searchable indexes

Stop worrying about outdated training data. This MCP Server lets your LlamaIndex pipeline pull fresh corporate profiles with `get_company` and index them on the fly for semantic search. Your agent can search past sessions to find specific financial details retrieved by `get_financials`. It guarantees your RAG application answers questions using real, structured numbers rather than guessing.

Context-grounded RAG with LlamaIndex and MCP

Combine your static documents with live market realities. Use `get_stock_prices` to inject real-time context into your query engine, blending internal research files with public market metrics. The tool `get_security` helps verify you are indexing the correct financial instrument. This keeps your vector database clean and prevents cross-contamination between similar ticker symbols.

Automate market discovery pipelines

Keep your knowledge base updated with the latest market entrants. Use `get_ipo_calendar` and `list_indices` to discover new companies and track major index movements automatically. Because this MCP Server connects your raw files to live feeds, your pipeline can scan `list_news` to index recent announcements, making sure your semantic search engine always has access to the latest market-moving events.

Setup guide

Set up Intrinio 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 Intrinio 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 Intrinio tools.",
)
response = await agent.run("List recent Intrinio data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Intrinio. 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.

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Common questions about Intrinio MCP in LlamaIndex

Install the llama-index-tools-mcp package and initialize the basic client with your Vinkius URL. Convert the server tools into a LlamaIndex tool spec and load them into your FunctionAgent.

Yes. You can run `search_companies` to find a ticker, pull its details, and write that structured financial data directly into your vector index for future queries.

You can use the allowed_tools filter during initialization. This lets you restrict your agent to specific tools like `get_financials` while blocking access to others using an MCP adapter configuration.

Yes, LlamaIndex handles async execution natively. You can fetch stock prices using `get_stock_prices` asynchronously to keep your application fast and responsive.

All operations run inside isolated V8 sandboxes on Vinkius. The server only processes financial data such as corporate profiles and market indices, ensuring no proprietary query terms are leaked to third parties.

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