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MCP Research MCP Server

Provides an MCP server framework to integrate custom tools and data sources with Cursor AI.

Installation
Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "azdeltaqq-mcp-research": {
      "command": "node",
      "args": [
        "~/path/to/server/index.js"
      ]
    }
  }
}

You can extend Cursor AI by running a dedicated MCP server that exposes tools and data sources through a well-defined protocol. This server acts as a bridge between Cursor AI and your implementations, handling communication, tool discovery, and execution in a secure, structured way.

How to use

To use the MCP server with Cursor AI, start your local MCP server and connect Cursor AI to it using the stdio transport for local development. Cursor AI will initialize the session, discover available tools, and send execution requests. You will receive results or clear error messages that guide you toward proper usage. The server is designed to validate inputs, enforce security boundaries, and provide meaningful tool capabilities to help you work efficiently.

How to install

Prerequisites you need to install and run an MCP server compatible with Cursor AI are listed below.

# 1) Install Node.js (version 14.x or higher)
# 2) Install dependencies for the MCP server
npm install
# 3) Build the project if TypeScript is used
npm run build
# 4) Start the MCP server using the stdio transport example as shown
# This runs a Node.js command that points to your server entry file
node ~/path/to/server/index.js

Additional sections

Configuration, security, and operational considerations help you run a reliable MCP server alongside Cursor AI. Follow these guidelines to ensure smooth integration and safe operation.

# Example MCP server configuration snippet (for local stdio transport)
{
  "mcpServers": {
    "cursor_mcp": {
      "type": "stdio",
      "command": "node",
      "args": ["~/path/to/server/index.js"]
    }
  },
  "envVars": []
}