Skip to main content
Glama

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 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

F
license - not found
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sunnylabtv-crypto/ai_mcp_fastmcp_remote-public'

If you have feedback or need assistance with the MCP directory API, please join our Discord server