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Plaid’s sandbox MCP server supports local development and testing. It runs in your local development environment and allows your AI tools to interact with Plaid’s sandbox APIs in context-aware ways. You can use it to: - Generate custom test users using our custom user feature - Trigger Plaid webhook events to test how your app handles updates - Generate sandbox tokens without having to write your own code - Improve search results returned by your AI assistant on Plaid docs

Add MCP server to Cursor

How to Use Model Context Protocol (MCP) in Cursor

What is MCP?

Model Context Protocol (MCP) is an open protocol that allows you to provide custom tools to agentic LLMs (Large Language Models) in Cursor's Composer feature.

Installation Steps

  1. Open Cursor Settings
    • Navigate to Cursor Settings > Features > MCP
    • Click the "+ Add New MCP Server" button
  2. Configure the Server
    • Name: Give your server a nickname
    • Type: Select the transport type (stdio or sse)
    • Command/URL: Enter either:
      • For SSE servers: The URL of the SSE endpoint
      • For stdio servers: A valid shell command to run the server

Example Configurations

For stdio Server (Weather Server Example):

Command: node ~/mcp-quickstart/weather-server-typescript/build/index.js

For SSE Server:

URL: http://example.com:8000/sse

Using MCP Tools

  1. Tool Availability
    • After adding a server, it will appear in your MCP servers list
    • You may need to click the refresh button to populate the tool list
  2. Using Tools in Composer
    • The Composer Agent automatically uses MCP tools when relevant
    • You can explicitly prompt tool usage by:
      • Referring to the tool by name
      • Describing the tool's function
  3. Tool Execution Process
    • Displays a message in chat requesting approval
    • Shows tool call arguments (expandable)
    • Executes the tool upon user approval
    • Displays the tool's response in the chat

Important Notes

  • MCP tools may not work with all models
  • MCP tools are only available to the Agent in Composer
  • For servers requiring environment variables, create a wrapper script that sets the variables before running the server