MCP App with Authentication
This MCP server implements a secure OAuth 2.1 authorization server with Google login, enabling authenticated tool execution and a user interface for MCP applications.
README
MCP App with Authentication
This project implements a secure, database-backed OAuth 2.1 authorization server and MCP App on top of FastMCP. It allows clients like Claude, ChatGPT, or the MCP Inspector to sign in using Google OAuth, execute authorized tools, and display details in an MCP App UI.
Setup & Running Guide
1. Ngrok Setup & Static URL Configuration
-
Install Ngrok: Follow the setup and installation instructions on the official ngrok Setup & Installation page.
-
Configure your Static Domain: To keep your public OAuth redirect URL persistent and avoid updating the Google Cloud Console settings every time you restart ngrok, configure a static development domain in your local
ngrok.ymlfile:Run the ngrok configuration editor:
ngrok config edit -
Add Endpoint Configuration: Paste the following configuration structure into the editor, replacing
authtokenwith your actual token from the ngrok dashboard:version: 3 agent: authtoken: YOUR_NGROK_AUTHTOKEN endpoints: - name: local url: <your-static-domain>.ngrok-free.app upstream: url: 8000 -
Save and close the editor.
-
Launch the static tunnel:
ngrok start local
Keep this tunnel active. Your public URL will always be https://<your-static-domain>.ngrok-free.app.
2. Google Cloud Console Setup
- Create a Google Cloud Project: Go to the Google Cloud Console and create a new project.
- Configure OAuth Consent Screen:
- Go to APIs & Services > OAuth consent screen.
- Choose External user type and fill out the required app information.
- Add scopes:
.../auth/userinfo.email,.../auth/userinfo.profile, andopenid. - Add your Google account as a test user.
- Create Credentials:
- Go to APIs & Services > Credentials.
- Click Create Credentials > OAuth client ID.
- Choose Web application as the application type.
- Under Authorized JavaScript origins, add:
https://<your-static-domain>.ngrok-free.app
- Under Authorized redirect URIs, add:
https://<your-static-domain>.ngrok-free.app/auth/google/callback(Our server callback)
- Copy Secrets:
- Save the client ID and client secret. These will be assigned to the environment variables
GOOGLE_CLIENT_IDandGOOGLE_CLIENT_SECRETat server launch.
- Save the client ID and client secret. These will be assigned to the environment variables
3. Start the MCP Server
Create a .env file in the root of the project to store your configurations and Google credentials securely:
PUBLIC_URL="https://<your-static-domain>.ngrok-free.app"
GOOGLE_CLIENT_ID="your-google-client-id.apps.googleusercontent.com"
GOOGLE_CLIENT_SECRET="your-google-client-secret"
Once your .env file is set up, start the server:
uv run python main.py
4. Build the Vite UI (React + Tailwind CSS)
To compile the React + Tailwind single-file HTML bundle to ui/dist/index.html:
cd ui
bun run build
5. Start the MCP Inspector
Run the local MCP Inspector using Bun (bunx) or NPM (npx):
# Using Bun (bunx)
bunx @modelcontextprotocol/inspector --transport http --server-url https://<your-static-domain>.ngrok-free.app/mcp
# Or using NPM (npx)
npx @modelcontextprotocol/inspector --transport http --server-url https://<your-static-domain>.ngrok-free.app/mcp
Open the generated local URL, click Connect, and complete the Google login flow to launch the MCP App UI.
References
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.