MCP Servers

digital-drive-mcp

Enables AI agents to browse and read files from a public Google Drive folder via MCP. Provides tools to list folders, read document contents, and get download URLs.

README

digital-drive-mcp

A Model Context Protocol (MCP) server that lets an AI agent browse and read the Akij Resource Digital Management Google Drive folder (public link). Built with TypeScript + the official MCP SDK, Streamable HTTP transport, deployable on Vercel.

Tools

Tool	Description
`list_team_folders`	The 5 team-member sub-folders (name + folder id)
`list_folder`	Files/sub-folders in any Drive folder (defaults to root)
`list_all_files`	Flattened list of every file across all 5 sub-folders
`read_file`	Read a file's content as text (Google Docs/Sheets/Slides, Word/Excel/PPT, markdown/HTML)
`download_url`	Direct download URL for a file

How it reads files (no credentials required)

The folder is public ("anyone with link"), so the server uses Google's public endpoints:

Listing — scrapes drive.google.com/drive/folders/<id> and parses the embedded _DRIVE_ivd JSON.
Google Docs/Sheets/Slides — exported via docs.google.com/.../export?format=txt|csv.
Office files (.xlsx/.docx/.pptx) — downloaded and parsed in-memory with fflate (ZIP + XML → text).
Text/HTML/Markdown — downloaded and returned raw.

Local development

npm install
npm run dev        # HTTP server on http://localhost:3000/mcp
# or
npm run stdio

Deploy

vercel --prod
# endpoint: https://<project>.vercel.app/api/mcp

Connect

{
  "mcp": {
    "digital-drive-mcp": {
      "type": "remote",
      "url": "https://<project>.vercel.app/api/mcp",
      "enabled": true
    }
  }
}

If the Drive folder is ever made private, listing/reading will fail — switch to a Google Service Account + Drive API, or keep the folder shared.

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.

Official

Featured

TypeScript

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.

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.

VeyraX MCP

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

Official

Featured

Local

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

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

E2B

Using MCP to run code via e2b.

Official

Featured

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

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

Qdrant Server

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

Official

Featured