manus-mcp

manus-mcp

An MCP server that enables interaction with Google Drive through the Google Cloud API. It allows users to list, read, and upload files directly from MCP-compatible clients like manus.im or Cursor.

Category
Visit Server

README

manus-mcp

MCP server on Fly.io that connects manus.im with Google Drive over Google Cloud.

What it does

  1. OAuth: Users hit /auth/google → redirect to Google → callback at /auth/google/callback → token stored on the server (in a Fly volume).
  2. MCP tools: After one-time auth, Cursor/other MCP clients can call:
    • drive_list_files(folder_id, page_size) – list files in a Drive folder
    • drive_read_file(file_id) – download file content (text or base64)
    • drive_upload_file(name, content, folder_id, mime_type) – upload a file

So manus.im (or any MCP client) can use this server as a bridge to Google Drive.


1. Google Cloud setup

  1. Go to Google Cloud Console and create or select a project.
  2. Enable the Drive API: APIs & Services → Library → search “Google Drive API” → Enable.
  3. OAuth consent screen: APIs & Services → OAuth consent screen → External (or Internal) → fill app name (e.g. “manus-mcp”), save.
  4. Credentials: APIs & Services → Credentials → Create credentials → OAuth client ID.
    • Application type: Web application
    • Name: e.g. manus-mcp-fly
    • Authorized redirect URIs: add exactly:
      • https://mcp-iwh3fa.fly.dev/auth/google/callback
    • Create → copy Client ID and Client secret.

2. Fly.io setup

  1. Secrets (replace with your values):

    fly secrets set GOOGLE_CLIENT_ID="your-client-id.apps.googleusercontent.com"
    fly secrets set GOOGLE_CLIENT_SECRET="your-client-secret"
    

    Optional (only if you use another URL):

    fly secrets set BASE_URL="https://mcp-iwh3fa.fly.dev"
    
  2. Volume for token persistence (one-time, same region as app):

    fly volumes create manus_mcp_data --region iad --size 1
    
  3. Deploy:

    fly deploy
    

3. First-time Google Drive connection

  1. Open: https://mcp-iwh3fa.fly.dev/auth/google
  2. Sign in with the Google account whose Drive you want to use.
  3. Approve the requested Drive access.
  4. You’ll be redirected back with “Connected. You can close this tab…”
  5. The server stores the refresh token in /data (Fly volume). MCP tools can now call the Drive API.

4. Connecting manus.im (or any MCP client)

Point your MCP client at this server’s HTTP transport.

  • URL: https://mcp-iwh3fa.fly.dev
  • Transport: HTTP (FastMCP). If your client expects an MCP endpoint path, check its docs (e.g. /mcp or root).

Example for a Cursor/IDE MCP config (format depends on your client):

{
  "mcpServers": {
    "manus-drive": {
      "url": "https://mcp-iwh3fa.fly.dev"
    }
  }
}

After that, tools drive_list_files, drive_read_file, and drive_upload_file are available to the client (e.g. manus.im or Cursor).


Endpoints

Path Method Description
/ GET 200 OK (for Fly checks)
/health GET JSON {"status":"healthy"}
/auth/google GET Redirect to Google OAuth
/auth/google/callback GET OAuth callback; saves token

Local development

cd mcp
pip install -r requirements.txt
# No volume; token is stored in ./google_drive_token.json
export GOOGLE_CLIENT_ID="..."
export GOOGLE_CLIENT_SECRET="..."
export BASE_URL="http://localhost:8000"   # or use ngrok and set BASE_URL to ngrok URL for callback
python server.py

Then open http://localhost:8000/auth/google (or your ngrok URL) to complete OAuth. Call the MCP tools via your client pointing at http://localhost:8000.


Summary

  • manus.imFly.io (mcp-iwh3fa.fly.dev)Google Drive via Google Cloud (OAuth + Drive API).
  • One-time auth in the browser; tokens stored on Fly in a volume.
  • MCP tools: list, read, upload files on the authenticated Drive.

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

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.

Official
Featured
Python
graphlit-mcp-server

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.

Official
Featured
TypeScript
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured