MCP Remote Server
Integration with Gmail, providing tools for email operations such as sending, reading, and managing emails.
Integration with OpenAI, enabling access to AI models for tasks like content generation and analysis.
Integration with Salesforce using JWT-based authentication, offering tools for CRM operations such as managing contacts, accounts, and opportunities.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Remote Serversummarize my latest 5 emails from Gmail"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Universal AI Chat MCP Server
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 ActionsSee 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
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