Finnhub MCP Server for Pydantic AI 6 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Finnhub 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 Finnhub "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in Finnhub?"
)
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 Finnhub MCP Server
Empower your AI agent to orchestrate your entire financial research and market auditing workflow with Finnhub, the comprehensive platform for real-time stock and crypto data. By connecting Finnhub to your agent, you transform complex market querying into a natural conversation. Your agent can instantly retrieve stock quotes, audit company profiles, and monitor market news without you ever touching a financial terminal. Whether you are conducting investment research or tracking crypto trends, your agent acts as a real-time financial analyst, ensuring your intelligence is always grounded in live market data.
Pydantic AI validates every Finnhub tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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.
What you can do
- Stock Auditing — Retrieve real-time price quotes for thousands of global stocks and maintain a clear view of market changes.
- Company Oversight — Audit comprehensive company profiles and basic financial metrics to understand organizational health.
- Market Intelligence — Search for stock and crypto symbols to identify relevant assets for your portfolio instantly.
- News Discovery — Monitor latest market news across various categories, including general, forex, and crypto, to stay on top of trends.
- Crypto Monitoring — List supported crypto symbols for dozens of exchanges to maintain strict control over digital asset data.
The Finnhub MCP Server exposes 6 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 Finnhub to Pydantic AI via MCP
Follow these steps to integrate the Finnhub 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 6 tools from Finnhub with type-safe schemas
Why Use Pydantic AI with the Finnhub MCP Server
Pydantic AI provides unique advantages when paired with Finnhub 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 Finnhub integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Finnhub connection logic from agent behavior for testable, maintainable code
Finnhub + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Finnhub MCP Server delivers measurable value.
Type-safe data pipelines: query Finnhub with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Finnhub tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Finnhub and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Finnhub responses and write comprehensive agent tests
Finnhub MCP Tools for Pydantic AI (6)
These 6 tools become available when you connect Finnhub to Pydantic AI via MCP:
get_basic_financials
Get basic financial metrics for a company
get_company_profile
Get general information about a company by symbol
get_market_news
Get latest market news in a category
get_stock_quote
Get real-time quote data for a specific stock symbol
list_crypto_symbols
List supported crypto symbols for an exchange
search_symbols
Search for stock or crypto symbols by name
Example Prompts for Finnhub in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Finnhub immediately.
"Get the current stock quote for 'AAPL' (Apple) using Finnhub."
"Show the latest news in the 'crypto' category."
"What are the basic financial metrics for 'MSFT' (Microsoft)?"
Troubleshooting Finnhub MCP Server with Pydantic AI
Common issues when connecting Finnhub to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFinnhub + Pydantic AI FAQ
Common questions about integrating Finnhub 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 Finnhub 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 Finnhub to Pydantic AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.