AI Coding Toolkit
Build your Plaid integration in record time with a development toolkit for your AI coding tools, including prompts, sandbox data, and an MCP server.
What is AI Coding Toolkit?
AI Coding Toolkit is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to build your plaid integration in record time with a development toolkit for your ai coding tools, including prompts, sandbox data, and an mcp server.
Build your Plaid integration in record time with a development toolkit for your AI coding tools, including prompts, sandbox data, and an MCP server.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Build your Plaid integration in record time with a developme
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ai-coding-toolkitConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use AI Coding Toolkit
The Plaid AI Coding Toolkit is an MCP server that accelerates Plaid financial API integration development by giving AI coding assistants direct access to Plaid's sandbox environment, documentation search, and mock data generation. It exposes tools for obtaining sandbox access tokens, simulating webhooks, searching Plaid's documentation, and generating customized mock financial data — letting developers build and test Plaid integrations without touching real financial data. It requires Plaid sandbox credentials (free) from the Plaid Developer Dashboard.
Prerequisites
- A Plaid Developer account with sandbox credentials (free at https://dashboard.plaid.com)
- PLAID_CLIENT_ID and PLAID_SECRET from the Plaid Developer Dashboard (sandbox keys)
- uv package manager or pip (Python runtime)
- An MCP client such as Claude Code, Cursor, or VS Code
Obtain Plaid sandbox credentials
Sign in to the Plaid Developer Dashboard, navigate to Developers > Keys, and copy your sandbox Client ID and Secret. These are free and do not access real financial data.
Install the Plaid MCP server
The sandbox MCP server is available as a Python package installable via uvx or pip.
# Using uvx (recommended, no install needed)
uvx mcp-server-plaid --client-id YOUR_CLIENT_ID --secret YOUR_SECRET
# Or install via pip
pip install mcp-server-plaidAdd to Claude Code
Add the server to your project's .mcp.json file, passing your sandbox Client ID and Secret as arguments.
{
"mcpServers": {
"plaid": {
"command": "uvx",
"args": [
"mcp-server-plaid",
"--client-id",
"YOUR_PLAID_CLIENT_ID",
"--secret",
"YOUR_PLAID_SECRET"
]
}
}
}Use documentation search to understand Plaid APIs
Use the search_documentation tool to query Plaid's docs for specific products, endpoints, or concepts. The tool returns detailed information from Plaid's documentation to help guide your integration.
Generate mock data and sandbox tokens
Use get_sandbox_access_token to obtain a working test access token, get_mock_data_prompt to generate custom mock financial data for tests, and simulate_webhook to trigger webhook events and test your event handling code.
Add product-specific rules to your AI assistant
The /rules directory in the toolkit contains Plaid product integration guides. Add the relevant rule file's content to your CLAUDE.md or agent instructions to give the AI model deep context about Plaid's APIs.
AI Coding Toolkit Examples
Client configuration
Claude Desktop configuration using uvx to run mcp-server-plaid with sandbox credentials.
{
"mcpServers": {
"plaid": {
"command": "uvx",
"args": [
"mcp-server-plaid",
"--client-id",
"YOUR_PLAID_CLIENT_ID",
"--secret",
"YOUR_PLAID_SECRET"
]
}
}
}Prompts to try
Prompts that use the four tools: search_documentation, get_mock_data_prompt, get_sandbox_access_token, and simulate_webhook.
- "Search Plaid documentation for how to implement the Auth product to get bank account numbers."
- "Get me a sandbox access token so I can test my Plaid Transactions integration."
- "Generate mock transaction data for a user with 3 months of credit card history."
- "Simulate a TRANSACTIONS_DEFAULT_UPDATE webhook so I can test my webhook handler."
- "Help me write code to link a Plaid Item using Link and then call the Accounts endpoint."Troubleshooting AI Coding Toolkit
Authentication error: 'invalid credentials' or 'INVALID_API_KEYS'
Ensure you are using sandbox credentials, not development or production keys. The --client-id and --secret arguments must match the sandbox environment in your Plaid Dashboard. Navigate to Developers > Keys and select the Sandbox tab.
uvx command not found
Install uv first: curl -LsSf https://astral.sh/uv/install.sh | sh. Then reload your shell. Alternatively, install via pip: pip install mcp-server-plaid and use python -m mcp_server_plaid instead of uvx.
simulate_webhook returns an error or no event is received
Webhook simulation requires a valid sandbox access token obtained via get_sandbox_access_token. Ensure your local webhook endpoint is accessible and your item is in an active state.
Frequently Asked Questions about AI Coding Toolkit
What is AI Coding Toolkit?
AI Coding Toolkit is a Model Context Protocol (MCP) server that build your plaid integration in record time with a development toolkit for your ai coding tools, including prompts, sandbox data, and an mcp server. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AI Coding Toolkit?
Follow the installation instructions on the AI Coding Toolkit GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with AI Coding Toolkit?
AI Coding Toolkit works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AI Coding Toolkit free to use?
Yes, AI Coding Toolkit is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up AI Coding Toolkit in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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