ME-MCP

Overview

ME‑MCP is a lightweight, cloud‑ready Model Context Protocol server that lets agents discover personal information about you and send messages directly to you. By exposing a single HTTP endpoint that follows the Streamable HTTP transport, it enables any MCP‑compliant assistant—Claude, Cursor, or a custom client—to query your profile and contact you without exposing sensitive credentials or requiring complex integrations.

The core problem ME‑MCP solves is the friction that exists when an AI assistant needs to reach out to a human. Traditional approaches rely on email or form submissions, which add latency and require the user to manage inboxes. ME‑MCP replaces this with a simple, declarative interface: the agent can retrieve your résumé or other public resources and then deliver a concise message through a pre‑configured Discord webhook. This eliminates the need for custom email servers or third‑party services while keeping communication instant and auditable.

Key features include:

• Resume Fetching – Your résumé is stored as a Markdown file in the public resources directory. Any agent can request it via the endpoint, making your professional background readily available for context or lead generation.
• Direct Contact via Discord Webhook – Messages are sent to a configured Discord webhook, providing a real‑time channel that is widely used and familiar to many developers. This approach sidesteps the overhead of email infrastructure while still delivering a persistent record of interactions.
• Cloudflare Workers Deployment – The server is built for Cloudflare Workers, ensuring low latency worldwide and zero‑cost scaling. Deploying the MCP simply involves publishing a worker, making it trivial to bring the server online from any environment.
• Streamable HTTP Transport – By adhering to the latest MCP specification, ME‑MCP guarantees compatibility with current AI assistants and future extensions without requiring protocol changes.

Real‑world scenarios where ME‑MCP shines include:

• Personal AI Assistants – Developers building custom agents for their own workflow can expose a concise résumé and receive instant feedback or requests via Discord, streamlining collaboration.
• Lead Generation – Sales agents can query potential clients’ public MCP endpoints to obtain contact information and then send personalized outreach messages without manual email composition.
• Community Moderation – Moderators can expose a MCP endpoint for their community, allowing bots to fetch moderator details and contact them directly through Discord when escalation is needed.

Integrating ME‑MCP into an AI workflow is straightforward. Once the server URL is known, any MCP client can add it to its configuration (e.g., via Claude Remote MCP or the proxy). The assistant then performs a simple GET request to for context, and when it needs to reach out, it POSTs a message payload to the endpoint, which forwards it through Discord. This tight coupling between context retrieval and communication reduces the cognitive load on developers, allowing them to focus on higher‑level logic rather than plumbing.

In summary, ME‑MCP offers a minimal yet powerful bridge between AI agents and human users. By providing instant access to personal data and a reliable messaging channel, it removes the usual bottlenecks of email or manual contact methods, making it an attractive tool for developers who want to embed seamless human‑AI interaction into their applications.