Add it to Claude Code
claude mcp add -e "GROQ_API_KEY=${GROQ_API_KEY}" -e "FINANCIAL_DATASETS_API_KEY=${FINANCIAL_DATASETS_API_KEY}" finance-mcp -- uv --directory "Absolute path to server.py file directory" run server.pyGROQ_API_KEYFINANCIAL_DATASETS_API_KEYMake your agent remember this setup
finance-mcp's config, env vars, and the gotchas you hit — recalled in every future Claude Code, Cursor, and Codex session.
npx conare@latestFree · one command · indexes the sessions already on disk. Set up in the browser instead →
What it does
- Retrieves real-time financial information of companies
- Standardizes interactions with external financial data sources
- Integrates with Agno and Smol Agent frameworks
- Provides a universal standard for agentic workflows
Environment Variables
GROQ_API_KEYrequiredAPI key for Groq servicesFINANCIAL_DATASETS_API_KEYrequiredAPI key for Financial DatasetsTry it
Original README from Ihtishammehmood/Finance_MCP-Server
Building a Finance agent with MCP
See Full Video:
Overview
This project demonstrates the use of a Model Context Protocol (MCP) server for retrieving financial data. The MCP server is integrated with Agno and Smol Agent to showcase its versatility in handling multiple agentic frameworks in standardized way.
MCP Server (Finance):
- This server is created using
financialdatasets apifetch financial information of companies - Standardizes interactions with external financial data sources using MCP.
- This server is created using
Agentic Framework Integration
- Integrated mcp server with Agno and Smol Agent.
- MCP creates a universal standard for all agentic workflows.
Features
- MCP enables AI applications to access diverse data sources and tools using a consistent protocol, streamlining the development process.
- AI applications (clients) communicate with MCP servers that expose specific capabilities, such as data access or function execution
- MCP allows AI models to retrieve up-to-date information and perform actions based on real-time data, enhancing their responsiveness and accuracy .
Getting Started
- Clone the repository:
git clone https://github.com/Ihtishammehmood/Finance_MCP-Server.git
- Add Groq and Financial Datasets APi to .env:
GROQ_API_KEY = "Place your GROQ API key here"
FINANCIAL_DATASETS_API_KEY = "Place your Financial Datasets API key here"
- Install UV package Manager
pip install uv
- Create Virtual Environment
uv venv
- Activate virtual Environment:
.venv\Scripts\activate
- Install dependencies
uv add -r requirements.txt
- Start Agno and Smol Agent integrations:
uv run agno_agent.py
Initialize MCP Inspector
- Run
mcp dev server.pyin Terminal
Add MCP server in IDE
{
"mcpServers": {
"stockTools": {
"command": "uv",
"args": [
"--directory",
"Absolute path to server.py file directory",
"run",
"server.py"
]
}
}
}
License
This project is licensed under the MIT License - see the LICENSE file for details.