Remote Server
FreeNot checkedEnables multi-user remote MCP interactions with Gmail, OpenAI, and Salesforce via a FastMCP server.
About
Enables multi-user remote MCP interactions with Gmail, OpenAI, and Salesforce via a FastMCP server.
README
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
from github.com/sunnylabtv-crypto/ai_mcp_fastmcp_remote-public
Installing Remote Server
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/sunnylabtv-crypto/ai_mcp_fastmcp_remote-publicFAQ
Is Remote Server MCP free?
Yes, Remote Server MCP is free — one-click install via Unyly at no cost.
Does Remote Server need an API key?
No, Remote Server runs without API keys or environment variables.
Is Remote Server hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Remote Server in Claude Desktop, Claude Code or Cursor?
Open Remote Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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