Relay MCP Server

by opengpu-networkcom.relaygpu/mcpv0.1.7

Run any Relay model (image, video, audio, LLM), poll tasks, upload files and search Relay's docs.

0Node.jsstdioremoteofficial registry

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of Relay, from the data

Relay is a ai & llm tools MCP server from opengpu-network, listed in the official MCP Registry.

We haven't measured its tool list yet, so its token cost is unknown.

With 0 GitHub stars it ranks #1,305 of 3,169 ai & llm tools servers we index.

It runs either locally over stdio or as a hosted endpoint and needs one secret (RELAY_API_KEY); use a scoped, least-privilege key.

Install Relay MCP server

claude mcp add relaygpu -e RELAY_API_KEY='<relay-api-key>' -- npx -y @relaygpu/mcp

{
  "mcpServers": {
    "relaygpu": {
      "command": "npx",
      "args": [
        "-y",
        "@relaygpu/mcp"
      ],
      "env": {
        "RELAY_API_KEY": "<relay-api-key>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).

{
  "mcpServers": {
    "relaygpu": {
      "command": "npx",
      "args": [
        "-y",
        "@relaygpu/mcp"
      ],
      "env": {
        "RELAY_API_KEY": "<relay-api-key>"
      }
    }
  }
}

Settings → Developer → Edit Config (claude_desktop_config.json), then restart.

{
  "servers": {
    "relaygpu": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@relaygpu/mcp"
      ],
      "env": {
        "RELAY_API_KEY": "<relay-api-key>"
      }
    }
  }
}

Add to .vscode/mcp.json in your workspace.

{
  "mcpServers": {
    "relaygpu": {
      "command": "npx",
      "args": [
        "-y",
        "@relaygpu/mcp"
      ],
      "env": {
        "RELAY_API_KEY": "<relay-api-key>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

Configuration

Variable	Required	Secret	Description
RELAY_API_KEY	yes	yes	Your Relay API key (relay_sk_...) from dashboard.relaygpu.com/keys.

Remote endpoints

streamable-httphttps://mcp.relaygpu.com/mcp

Freshness

Not enough public signals yet to judge maintenance.

Last commit (default branch)
2026-10-15 · 3d ago · GitHub
Latest release
2026-10-15 · 3d ago · GitHub · v0.1.7
Package published
no data · npm/PyPI
Registry entry updated
2026-10-15 · 3d ago · official registry · v0.1.7

How it compares in AI & LLM Tools

Against the most-starred ai & llm tools servers we index. Token cost is per model turn, measured from each server's live tool list.

Server	Stars	Tools	Tokens / turn	Freshness	Runs
Relay (this)	0	—	not measured	—	local + hosted
Memory	91,356	—	not measured	Active	local
Claude Flow	76,638	—	not measured	Active	local
Next AI Draw.io	36,318	—	not measured	—	local
Serena Agent	30,371	—	not measured	Active	local
Trycua	30,160	—	not measured	Active	—

All ai & llm tools MCP servers

FAQ

›How do I install the Relay MCP server in Claude Code?

Run: claude mcp add relaygpu -e RELAY_API_KEY='<relay-api-key>' -- npx -y @relaygpu/mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does Relay require an API key?

Yes. It expects RELAY_API_KEY, of which 1 is a secret.

›Can I use Relay as a remote (hosted) MCP server?

Yes — it offers both a hosted endpoint and a local stdio package.

›Is Relay in the official MCP registry?

Yes, as com.relaygpu/mcp.

Sources and method

Official MCP Registry entry: updated 2026-10-15
GitHub repository: fetched 2026-10-19
Package registry (npm / PyPI): listed
Last checked against all sources: 2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.