Finnhub MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Finnhub through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"finnhub": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Finnhub, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Finnhub through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Finnhub MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 6 tools from Finnhub via MCP
Why Use LangChain with the Finnhub MCP Server
LangChain provides unique advantages when paired with Finnhub through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Finnhub MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Finnhub queries for multi-turn workflows
Finnhub + LangChain Use Cases
Practical scenarios where LangChain combined with the Finnhub MCP Server delivers measurable value.
RAG with live data: combine Finnhub tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Finnhub, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Finnhub tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Finnhub tool call, measure latency, and optimize your agent's performance
Finnhub MCP Tools for LangChain (6)
These 6 tools become available when you connect Finnhub to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Finnhub to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFinnhub + LangChain FAQ
Common questions about integrating Finnhub MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.