MCP Remote Server

MCP Remote Server

Enables multi-user remote MCP interactions with Gmail, OpenAI, and Salesforce via a FastMCP server.

Category
Visit Server

README

MCP Remote Server — HTTP-Streamable / Resumable (FastMCP)

A production-style remote MCP (Model Context Protocol) server built with FastMCP, exposing tools over a multi-user, HTTP-streamable (resumable) transport and deployed to the cloud via CI/CD. It integrates Gmail, OpenAI, and Salesforce behind a clean service layer, with JWT-based Salesforce auth.

Part of the SunnyLab build series — the step that took a local MCP server to a resumable, multi-user remote server on cloud. Sanitized public showcase: all secrets, keys, and infra identifiers were removed; configure your own .env / CI secrets.

What it demonstrates

  • Remote MCP over HTTP-streamable, resumable transport (multi-user, not just local stdio)
  • FastMCP server exposing tools/services
  • Enterprise integrations — Gmail, OpenAI, Salesforce (JWT bearer flow; keys loaded from env/secret-mounted files at runtime, never committed)
  • Cloud-native delivery — Docker, Cloud Build, GitHub Actions (all secrets via ${{ secrets.* }}; project/VM are placeholders)
  • Log retention cron + a lightweight dashboard

Architecture

MCP clients (multi-user)
        │  HTTP-streamable / resumable MCP
        ▼
FastMCP remote server
   ├─ tools (gmail / openai / salesforce)
   └─ service layer  ──►  Gmail · OpenAI · Salesforce (JWT)
        │
        ▼
  deployed on cloud VM (Docker), CI/CD via GitHub Actions

See mcp_server/ for tools and services.

Tech stack

Python · MCP / FastMCP · HTTP-streamable resumable transport · Gmail/OpenAI/Salesforce integrations · JWT · Docker · Google Cloud Build · GitHub Actions

Project structure

mcp_server/      # FastMCP server, tools, services, config
generate_token.py# OAuth token helper (no secrets committed)
retention_cron.py# log retention job
dashboard.py     # lightweight dashboard
.github/         # CI/CD (secrets via ${{ secrets.* }}, placeholders for project/VM)
Dockerfile · docker-compose.yml · cloudbuild.yaml
.env.example     # required env vars (no real keys)

Setup

cp .env.example .env      # your own keys; SF JWT key path, OPENAI, Google …
pip install -r requirements.txt
# run the FastMCP server (see mcp_server/)

Note

Public portfolio showcase. Credential files (github-deploy-key.json, SF private key, tokens), .env, and infrastructure identifiers were removed before publishing. The code loads all secrets from environment / mounted files at runtime — none are committed.


SunnyLab — building agentic AI in public · Medium @sunnylabtv · YouTube @sunnylabtv

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
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
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
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

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

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