Connect MCP clients

Your MCP server works with any client that supports the Model Context Protocol.

Audience	Developers and MCP client users configuring local AI tools
Prerequisites	A deployed MCP server and access to the target MCP client settings

Configuration

After deploying, you receive a JSON config snippet:

{
  "mcpServers": {
    "your-server": {
      "url": "https://appatools.com/mcp-studio/api/mcp/your-server"
    }
  }
}

Client-specific instructions

Cursor

Open Settings > MCP Servers, paste the JSON snippet, and restart Cursor.

Claude Desktop

Open Settings > Developer > Edit Config, add your server to mcpServers, and restart Claude Desktop.

Windsurf

Open the MCP configuration file, add the server entry, and restart Windsurf.

VS Code (with MCP extension)

Add the server URL to your MCP extension settings.

JetBrains (IntelliJ, WebStorm, PyCharm)

Configure through the MCP plugin settings.

Custom / SDK

Use the streamable HTTP endpoint URL (/api/mcp/{slug}) with any MCP-compatible SDK:

# Python
pip install mcp

# Node.js
npm install @modelcontextprotocol/sdk

Transports

Transport	Method	Endpoint
Streamable HTTP (default)	POST	/api/mcp/{slug}
SSE (compatibility)	GET	/api/mcp/{slug}/sse

Use streamable HTTP by default for new integrations. Use SSE only for clients that have not migrated yet.