docs/ai_builder/integrations/mcp_installation.md
import reflex as rx
# The Reflex MCP integration is currently only available for enterprise customers. Please [book a demo](https://reflex.dev/pricing/) to discuss access.
To use the Reflex MCP integration, you'll need to configure your AI assistant or coding tool to connect to the Reflex MCP server. No additional Python packages are required on your local machine - the server is hosted and ready to use.
The Reflex MCP server uses OAuth 2.1 protocol for secure authentication. You'll need a valid Reflex account, and authentication is handled automatically through your MCP client configuration when you provide your Reflex credentials.
Add the Reflex MCP server to Claude Code by running:
claude mcp add --transport http reflex https://build.reflex.dev/mcp
Then authenticate by running the /mcp command inside Claude Code and following the login steps in your browser. Authentication tokens are stored securely and refreshed automatically. See the Claude Code MCP documentation for more details.
Claude Desktop pulls remote MCP servers from your Claude account's connectors. Go to claude.ai → Settings → Connectors → Add custom connector, enter https://build.reflex.dev/mcp as the URL, and complete the OAuth login. The connector will then be available in Claude Desktop after you sign in. See the custom connectors guide for details and plan availability.
Add the Reflex MCP server to Codex by running:
codex mcp add reflex --url https://build.reflex.dev/mcp
See the Codex MCP documentation for more details.
Click here to install the Reflex MCP server in Cursor, or edit (or create) ~/.cursor/mcp.json for a global config, or .cursor/mcp.json in your project root for a project-specific config:
{
"mcpServers": {
"reflex": {
"url": "https://build.reflex.dev/mcp"
}
}
}
Open Cursor settings under MCP & Integrations to verify the server is connected and complete OAuth login. See the Cursor MCP documentation for more details.
Add the Reflex MCP server to ~/.gemini/settings.json:
{
"mcpServers": {
"reflex": {
"httpUrl": "https://build.reflex.dev/mcp"
}
}
}
See the Gemini CLI MCP documentation for more details.
Create a .vscode/mcp.json file in your project root (or open MCP: Open User Configuration from the VS Code command palette for a global config):
{
"servers": {
"reflex": {
"type": "http",
"url": "https://build.reflex.dev/mcp"
}
}
}
After saving, start the server from the inline action above the entry in mcp.json, then complete the OAuth login when prompted. See the VS Code MCP documentation for more details.
Add the Reflex MCP server to your opencode.json (project) or ~/.config/opencode/opencode.json (global):
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"reflex": {
"type": "remote",
"url": "https://build.reflex.dev/mcp",
"enabled": true
}
}
}
See the OpenCode MCP documentation for more details.
Edit (or create) ~/.codeium/windsurf/mcp_config.json and add the Reflex server:
{
"mcpServers": {
"reflex": {
"serverUrl": "https://build.reflex.dev/mcp"
}
}
}
After saving, open Cascade and click the refresh icon in the MCP toolbar to load the new server. See the Windsurf MCP documentation for more details.