Finance

Provides access to financial data sources and actions via MCP for AI clients.

python

GitHub Stars

python

Language

4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "ihtishammehmood-finance_mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "Absolute path to server.py file directory",
        "run",
        "server.py"
      ],
      "env": {
        "GROQ_API_KEY": "Place your GROQ API key here",
        "FINANCIAL_DATASETS_API_KEY": "Place your Financial Datasets API key here"
      }
    }
  }
}

You can run a Finance MCP Server that standardizes access to external financial data sources and lets AI agents like Agno and Smol Agent query, retrieve, and act on up-to-date financial information through the MCP protocol.

How to use

You interact with the Finance MCP Server through an MCP client to request data access or function execution related to financial information. The server provides a consistent interface so your AI models can fetch company data, market statistics, and other financial insights from multiple sources without handling each source’s quirks individually. Use the MCP client to route requests to the server, and rely on the universal protocol to receive structured results that your agents can reason about and act on in real time.

How to install

Prerequisites: Python and a modern shell or terminal.

git clone https://github.com/Ihtishammehmood/Finance_MCP-Server.git

GROQ_API_KEY = "Place your GROQ API key here"
FINANCIAL_DATASETS_API_KEY = "Place your Financial Datasets API key here"

pip install uv

uv venv

.venv\Scripts\activate

uv add -r requirements.txt

uv run agno_agent.py

Initialize MCP Inspector

mcp dev server.py

Add MCP server in IDE

{
  "mcpServers": {
    "stockTools": {
      "command": "uv",
      "args": [
        "--directory",
        "Absolute path to server.py file directory",
        "run",
        "server.py"
      ]
    }
  }
}

Additional setup notes

The project integrates with Agno and Smol Agent to demonstrate how MCP servers can be consumed by different agentic frameworks using a single, standardized interface. If you want to inspect or adjust how the MCP server is wired during development, you can initialize the MCP Inspector to start the dev server alongside your client tooling.

Notes and additional references

License: This project is licensed under the MIT License. Review the license file for details.

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