Intrinio MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Intrinio through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Intrinio "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Intrinio?"
)
print(result.data)
asyncio.run(main())
* 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 Intrinio MCP Server
Empower your AI agents with Intrinio's comprehensive financial data. This MCP server allows you to retrieve real-time and historical stock prices, access financial statements, search for companies, and track earnings releases and IPO calendars directly through the Intrinio API. Ideal for financial analysis, portfolio monitoring, and market research.
Pydantic AI validates every Intrinio tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
The Intrinio MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Intrinio to Pydantic AI via MCP
Follow these steps to integrate the Intrinio MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Intrinio with type-safe schemas
Why Use Pydantic AI with the Intrinio MCP Server
Pydantic AI provides unique advantages when paired with Intrinio through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Intrinio integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Intrinio connection logic from agent behavior for testable, maintainable code
Intrinio + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Intrinio MCP Server delivers measurable value.
Type-safe data pipelines: query Intrinio with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Intrinio tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Intrinio and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Intrinio responses and write comprehensive agent tests
Intrinio MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Intrinio to Pydantic AI via MCP:
get_company
g., "AAPL") or ID. Returns headquarters address, employee counts, and business descriptions. Useful for providing a profile overview of a company. Retrieves details for a specific company
get_earnings_releases
Essential for tracking reporting seasons and anticipating market volatility for specific tickers. Lists upcoming and past earnings releases
get_financials
Returns line items and values. Essential for fundamental financial analysis and performance vetting. Retrieves financial statements for a company
get_ipo_calendar
Useful for identifying new market entrants and investment opportunities. Retrieves the IPO calendar
get_security
Returns exchange info, security type, and identifiers. Use this to distinguish between different types of instruments traded under similar names. Retrieves details for a specific security
get_stock_prices
Use this to analyze market performance and price trends over time. Retrieves historical stock prices for a security
list_companies
Returns company names, tickers, and internal IDs. Use this to discover tickers before querying specific stock prices or financial statements. Lists all companies covered by Intrinio
list_indices
g., S&P 500, Dow Jones) tracked by Intrinio. Use this to identify index identifiers before querying index performance data. Lists stock market indices
list_news
Useful for monitoring market-moving events and recent announcements from public companies. Lists latest financial news
search_companies
Use this when the user provided a partial company name and you need to locate the correct ticker or ID. Searches for companies by name or ticker
Example Prompts for Intrinio in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Intrinio immediately.
"List financial statements for Apple (AAPL)."
"Get the latest stock price for Microsoft."
"Search for companies in the 'Software' industry."
Troubleshooting Intrinio MCP Server with Pydantic AI
Common issues when connecting Intrinio to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiIntrinio + Pydantic AI FAQ
Common questions about integrating Intrinio MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Intrinio with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Intrinio to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.