Finance Tracker MCP Server
Click on "Install 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 Tracker MCP ServerWhat were my top 5 expenses this month?"
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.
Finance Tracker MCP Server
AI-powered personal finance analysis through Claude AI using the Model Context Protocol (MCP).

What This Does
This MCP server connects Claude AI to financial transaction data, enabling natural language queries about your finances:
"Show me my spending this month"
"Find all my subscriptions"
"What were my top 10 expenses?"
"Show spending trends for the last 3 months"
"Search for all Starbucks transactions"
"Check my budget: Dining $500, Shopping $300"
Features
6 Financial Analysis Tools
Monthly spending summaries
Subscription detection (recurring charges)
Budget tracking & alerts
Spending trend analysis
Top expenses ranking
Transaction search
Plaid Integration
Connect to 10,000+ banks (sandbox mode for testing)
Real-time transaction data (when connected to real accounts)
Secure API access
Privacy First
All data stays local on your machine
No external data storage
Encrypted API connections
Quick Start
Prerequisites
Python 3.9 or higher
Claude Desktop app
Plaid account (free at https://dashboard.plaid.com)
Installation
Clone the repository
git clone https://github.com/yourusername/finance-plaid-mcp.git
cd finance-plaid-mcpCreate virtual environment
python -m venv venv
# Activate it:
# Windows:
venv\Scripts\activate
# Mac/Linux:
source venv/bin/activateInstall dependencies
pip install -r requirements.txtSet up Plaid API keys
Copy
.env.exampleto.envand add your Plaid keys from https://dashboard.plaid.com
PLAID_CLIENT_ID=your_client_id_here
PLAID_SECRET=your_sandbox_secret_here
PLAID_ENV=sandbox
DATA_DIR=./dataGenerate sample data (for testing)
python generate_sample_data.pyConfigure Claude Desktop
Add this to your Claude Desktop config file:
Windows:
%APPDATA%\Claude\claude_desktop_config.jsonMac:
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"finance-tracker": {
"command": "python",
"args": [
"/FULL/PATH/TO/finance-plaid-mcp/src/server.py"
]
}
}
}Important: Use the full absolute path to your project!
Restart Claude Desktop
Test it!
In Claude, ask: "Find all my subscriptions"
📁 Project Structure
finance-plaid-mcp/ ├── src/ │ ├── server.py # MCP server (main entry point) │ ├── plaid_client.py # Plaid API integration │ ├── analyzer.py # Transaction analysis logic │ └── config.py # Configuration & environment variables ├── data/ │ └── sample_transactions.json # Generated test data ├── screenshot.png # Demo screenshot ├── .env # Your API keys (NOT committed to git) ├── .env.example # Template for API keys ├── .gitignore # Prevents committing secrets ├── requirements.txt # Python dependencies └── README.md # This file
🔧 Available Tools
Claude can call these tools when analyzing your finances:
Tool | Description |
| Get spending/income summary for any month |
| Detect recurring charges (Netflix, Spotify, etc.) |
| Analyze spending patterns over time |
| Compare actual spending vs budget limits |
| Get largest expenses ranked |
| Search by merchant or category |
🏦 Connecting Real Bank Accounts
Currently in Sandbox Mode (test data only)
To connect real banks:
Switch to Development mode in Plaid dashboard
Update
.env:PLAID_ENV=developmentImplement Plaid Link UI (web interface for bank login)
For portfolio/demo purposes, sandbox mode is recommended to avoid exposing real financial data.
📊 Sample Output
Finding Subscriptions: 19 subscriptions found totaling $18,123/year Top subscriptions:
Comcast Internet: $130.71/mo ($915 total) Apple Store: $180.05/mo ($900 total) Verizon Phone Bill: $110.75/mo ($886 total) Electric Bill: $119.86/mo ($839 total) Zara: $151.91/mo ($760 total)
Monthly Summary: Monthly total: $1,510 Income: $5,000 Expenses: $3,490 Net: $1,510 Spending by category:
Groceries: $644 Shopping: $900 Utilities: $886 Dining: $450 Transportation: $380
🛠️ Tech Stack
Python 3.14
MCP SDK - Model Context Protocol
Plaid API - Bank connection & transaction data
Pandas - Data analysis
Claude AI - Natural language interface
🔐 Security & Privacy
✅ API keys stored in
.env(never committed)✅ All data processed locally
✅ No external logging or analytics
✅ Plaid provides bank-level encryption
⚠️ Important: Never commit your .env file or API keys to GitHub!
🤝 Contributing
Contributions welcome! Feel free to:
Report bugs
Suggest features
Submit pull requests
📝 License
MIT License
🙏 Acknowledgments
Built with Anthropic's MCP
Powered by Plaid
⭐ If you found this helpful, please star the repo!
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ID45/finance-plaid-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server