Finnhub MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Finnhub as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="finnhub_agent",
tools=tools,
system_message=(
"You help users with Finnhub. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Finnhub tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Finnhub MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 6 tools from Finnhub automatically
Why Use AutoGen with the Finnhub MCP Server
AutoGen provides unique advantages when paired with Finnhub through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Finnhub tools to solve complex tasks
Role-based architecture lets you assign Finnhub tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Finnhub tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Finnhub tool responses in an isolated environment
Finnhub + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Finnhub MCP Server delivers measurable value.
Collaborative analysis: one agent queries Finnhub while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Finnhub, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Finnhub data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Finnhub responses in a sandboxed execution environment
Finnhub MCP Tools for AutoGen (6)
These 6 tools become available when you connect Finnhub to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Finnhub to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Finnhub + AutoGen FAQ
Common questions about integrating Finnhub MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Finnhub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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TypeScript toolkit for building AI-powered web applications.
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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 AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
