Remote MCP

Fly.io

More setup than Railway or Render, but gives fine-grained control over region, scaling, and resources.

1

Install flyctl and log in

brew install flyctl   # macOS
fly auth login
2

Initialize the app

From the repo root:

fly launch --no-deploy

Accept the generated fly.toml. Pick a region close to you.

3

Set your secrets

fly secrets set \
  MCP_TRANSPORT=streamable-http \
  MCP_PORT=8080 \
  PARADEX_ENVIRONMENT=prod
4

Configure and deploy

Confirm the [[services]] block in fly.toml listens on port 8080 with health check path /health:

[[services]]
  internal_port = 8080
  protocol = "tcp"
  [[services.tcp_checks]]
    grace_period = "10s"
    interval = "30s"
    restart_limit = 0
    timeout = "5s"
  [[services.http_checks]]
    interval = "10s"
    grace_period = "5s"
    method = "GET"
    path = "/health"
    protocol = "http"
    timeout = "2s"

Then deploy:

fly deploy

Your endpoint will be https://<app-name>.fly.dev/mcp.

5

Connect your AI client

Paste the URL into your AI client’s MCP settings. See the Remote MCP quickstart for client-specific instructions.

Fly.io keeps one VM running by default (no cold starts). Use fly scale count 0 to pause billing, fly scale count 1 to resume. fly logs streams live logs.