Plaid MCP Server
An MCP server for integrating with Plaid's API in sandbox mode, enabling linking bank accounts, fetching transactions, balances, and account information.
README
Plaid MCP Server (Python)
A Model Context Protocol (MCP) server for integrating with Plaid's API in sandbox mode. This server provides tools for linking bank accounts, retrieving transactions, balances, and account information.
Features
- Create Link tokens for Plaid Link initialization
- Exchange public tokens for access tokens
- Retrieve account information
- Fetch transactions within date ranges
- Get real-time balance information
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Plaid account with sandbox credentials
Setup
1. Get Plaid Credentials
- Sign up at Plaid Dashboard
- Navigate to Developers > Keys
- Copy your
client_idandsandboxsecret
2. Install Dependencies
Using pip:
pip install -e .
Or using uv (faster):
uv pip install -e .
3. Configure Environment
cp .env.example .env
Edit .env and add your credentials:
PLAID_CLIENT_ID=your_client_id_here
PLAID_SECRET=your_sandbox_secret_here
Usage
Running the Server
python -m plaid_mcp_server.server
Or if installed:
plaid-mcp-server
Getting a Sandbox Access Token
For testing, run the sandbox setup script:
python sandbox_setup.py
This will create a test Plaid item and give you an access token to use with the MCP tools.
Available Tools
1. create_link_token
Create a Link token for initializing Plaid Link.
Parameters:
user_id(required): Unique ID for the userclient_name(required): Name of your applicationproducts(optional): Array of products (default: ["transactions"])country_codes(optional): Array of country codes (default: ["US"])language(optional): Language code (default: "en")
2. exchange_public_token
Exchange a public token for an access token.
Parameters:
public_token(required): Public token from Plaid Link
3. get_accounts
Retrieve account information.
Parameters:
access_token(required): Access token for the linked item
4. get_transactions
Fetch transactions within a date range.
Parameters:
access_token(required): Access token for the linked itemstart_date(required): Start date (YYYY-MM-DD)end_date(required): End date (YYYY-MM-DD)
5. get_balance
Get real-time balance information.
Parameters:
access_token(required): Access token for the linked item
Testing in Sandbox
The server is configured to use Plaid's sandbox environment. Use these test credentials when testing with Plaid Link:
- Username:
user_good - Password:
pass_good
See Plaid's Sandbox Guide for more test credentials and scenarios.
Development
Project Structure
plaid-mcp-python/
├── src/
│ └── plaid_mcp_server/
│ ├── __init__.py
│ └── server.py # Main MCP server implementation
├── sandbox_setup.py # Script to create test access tokens
├── requirements.txt # Python dependencies
├── pyproject.toml # Project metadata and build config
├── .env.example # Environment variables template
└── README.md
Code Style
This implementation follows Python best practices:
- Type hints for better IDE support and type checking
- Async/await for concurrent operations
- Proper error handling with specific exceptions
- PEP 8 style guide compliance
- Docstrings for all modules and functions
Connecting to Claude Desktop
To use this MCP server with Claude Desktop, add the following to your Claude Desktop config:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"plaid": {
"command": "python",
"args": ["-m", "plaid_mcp_server.server"],
"cwd": "/absolute/path/to/plaid-mcp-python",
"env": {
"PLAID_CLIENT_ID": "your_client_id_here",
"PLAID_SECRET": "your_sandbox_secret_here"
}
}
}
}
Or if using uv:
{
"mcpServers": {
"plaid": {
"command": "uv",
"args": ["run", "plaid-mcp-server"],
"cwd": "/absolute/path/to/plaid-mcp-python",
"env": {
"PLAID_CLIENT_ID": "your_client_id_here",
"PLAID_SECRET": "your_sandbox_secret_here"
}
}
}
}
After updating the config, restart Claude Desktop.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.