What dependencies or runtime does remote-mcp-server require?
It requires a Cloudflare account, the `wrangler` CLI for deployment, and a Gmail OAuth 2.0 refresh token with at least the `https://www.googleapis.com/auth/gmail.readonly` scope.
@ivannafigueroa
基本信息
暂无概览
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
remote-mcp-server is a simple Cloudflare Worker that fetches unread emails from Gmail using the Gmail API and OAuth 2.0 refresh tokens. It is intended for developers who need to programmatically retrieve unread email summaries, for example as a backend for a WhatsApp agent.
Deploy with Cloudflare’s wrangler CLI, set the required environment variables (GMAIL_CLIENT_ID, GMAIL_CLIENT_SECRET, GMAIL_REFRESH_TOKEN with at least gmail.readonly scope), then send a GET request to the worker’s URL. The response is a JSON array of email summaries (id, from, date, subject, snippet).
It requires a Cloudflare account, the `wrangler` CLI for deployment, and a Gmail OAuth 2.0 refresh token with at least the `https://www.googleapis.com/auth/gmail.readonly` scope.
Credentials are stored as Cloudflare Worker secrets (environment variables) — `GMAIL_CLIENT_ID`, `GMAIL_CLIENT_SECRET`, and `GMAIL_REFRESH_TOKEN`. The worker uses the refresh token to obtain short-lived access tokens automatically.
Email data is fetched on‑demand from the Gmail API when a GET request is made. The worker does not store emails; it only returns a summary of unread messages in the HTTP response.
The worker communicates with the Gmail API over HTTPS using OAuth 2.0. The endpoint itself is public by default; optional enhancement with a custom API key header is described in the README.
The worker depends on Gmail API rate limits and the refresh token’s scope. It only returns unread emails; no support for sending, searching, or modifying emails is provided.
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
🚀 The fast, Pythonic way to build MCP servers and clients.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Run advanced phishing, voice phishing, deepfake fraud simulations, and cybersecurity awareness training from your AI assistant.

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
评论