For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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HomeOverviewDIME UtilityTradingRisk & LiquidationsParadex ChainEcosystemREST APIWebSocket APIAgentic AI HubRelease Notes
HomeOverviewDIME UtilityTradingRisk & LiquidationsParadex ChainEcosystemREST APIWebSocket APIAgentic AI HubRelease Notes
  • Getting Started
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Remote MCP

Railway

The quickest path to a permanent URL. Railway auto-detects the Dockerfile and handles TLS, routing, and restarts.

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Render

Similar to Railway with a free tier. Free services spin down after 15 minutes of inactivity and have a cold start (~30 s) on the next request.

Next
Built with
1

Push the repository to GitHub

Push your fork (or the upstream repo) to GitHub.

2

Create a Railway project

Go to railway.app → New Project → Deploy from GitHub repo and select the repository.

3

Set environment variables

Railway detects the Dockerfile automatically. Open Variables and add:

KeyValue
MCP_TRANSPORTstreamable-http
MCP_PORT8080
PARADEX_ENVIRONMENTprod
4

Generate a domain

Open Settings → Networking → Generate Domain. Your endpoint will be https://<project>.up.railway.app/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.

Railway keeps the server running continuously (no cold starts). Redeploys happen automatically when you push to the connected branch. The free tier has usage limits; the Hobby plan (~$5/mo) removes them.