Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Finance MCP Server get the latest stock price and financial metrics for NVDA"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Related MCP server: Financial Modeling Prep MCP Server
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 api fetch financial information of companies
Standardizes interactions with external financial data sources using MCP.
Agentic Framework Integration
Integrated mcp server with Agno and Smol Agent.
MCP creates a universal standard for all agentic workflows.
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 .
Clone the repository:
git clone https://github.com/Ihtishammehmood/Finance_MCP-Server.gitAdd 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 uvCreate Virtual Environment
uv venvActivate virtual Environment:
.venv\Scripts\activate
Install dependencies
uv add -r requirements.txtStart Agno and Smol Agent integrations:
uv run agno_agent.pyRun mcp dev server.py in Terminal
{
"mcpServers": {
"stockTools": {
"command": "uv",
"args": [
"--directory",
"Absolute path to server.py file directory",
"run",
"server.py"
]
}
}
}
This project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be deployed
Financial data MCP server for Claude, ChatGPT, Cursor and Codex. Real-time stock quotes, financial statements, options flow, SEC filings, insider trades, 13F holdings, macro data and market news from gloom.sh, the open-source Bloomberg Terminal alternative.
A Model Context Protocol server exposing real-time and historical Colombo Stock Exchange (CSE) data to AI agents and LLM applications. Provides quotes and OHLCV price history, full financial statements (income, balance sheet, cash flow), pre-computed technicals (moving averages, RS ratings, volume signals), macroeconomic indicators, corporate actions, and rule-based screening across CSE stocks and sector indices, everything needed to build CSE-aware trading assistants, research tools, and market-analysis agents. This is the official MCP server of www.ceyloncharts.com
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