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PopNx MCPMCP servers for people who use AI · explained in plain words

Relay

by OpenGPU-Networkversion 0.1.8i★ –iComputer or cloud
Registry namecom.relaygpu/mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Design, images & audio
  • You need to fill in: RELAY_API_KEY, X-API-Key

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: RELAY_API_KEY, X-API-Key

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "relaygpu": {
      "command": "npx",
      "args": [
        "-y",
        "@relaygpu/mcp"
      ],
      "env": {
        "RELAY_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http relaygpu https://mcp.relaygpu.com/mcp --header 'X-API-Key: your-value'

Or run it on your computer

claude mcp add relaygpu --env RELAY_API_KEY=your-value -- npx -y @relaygpu/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "relaygpu": {
      "url": "https://mcp.relaygpu.com/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "relaygpu": {
      "command": "npx",
      "args": [
        "-y",
        "@relaygpu/mcp"
      ],
      "env": {
        "RELAY_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "relaygpu": {
      "type": "http",
      "url": "https://mcp.relaygpu.com/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "relaygpu": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@relaygpu/mcp"
      ],
      "env": {
        "RELAY_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • RELAY_API_KEY secret required env
    Your Relay API key (relay_sk_...) from dashboard.relaygpu.com/keys.
  • X-API-Key secret required HTTP header
    Your Relay API key (relay_sk_...) from dashboard.relaygpu.com/keys.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain relaygpu.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2169 servers in this category
  • Published to the registry more recently than 71% of the other 2169 servers in this category
  • Basic checks equal to or better than 100% of the other 2169 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Relay safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: RELAY_API_KEY, X-API-Key

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.8) reached the registry 13 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@relaygpu/mcp

Relay's MCP server. Your agent can find a Relay model, read its input schema, run it, poll long tasks, upload files, run workflows and search the Relay docs, all from Claude Code, Cursor, VS Code or Claude Desktop. It is built on @relaygpu/client. The tools are generic and take the model as a string, so a model added to Relay works without a new release.

Connect to the hosted server, or run it locally:

HowCredential
Hosted (Streamable HTTP)https://mcp.relaygpu.com/mcp, nothing to installX-API-Key: relay_sk_... header, or Authorization: Bearer
Local (stdio)npx -y @relaygpu/mcp (Node ≥ 20)RELAY_API_KEY=relay_sk_... in its environment; optional RELAY_BASE_URL (default https://relaygpu.com)

The server never stores your key: the hosted one reads it from each request and uses it for that request only, the local one reads it from its environment.

Install

Claude Code, Codex, Cursor and VS Code connect to the hosted server: no Node, no npx. Claude Desktop accepts remote servers only through OAuth, which v0 does not offer yet, so it uses the local server through a one-click bundle. Every client can also run the local server; see Local server.

Claude Code

Terminal, in the CLI or the VS Code / JetBrains extension alike:

claude mcp add --transport http --scope user relay https://mcp.relaygpu.com/mcp --header "X-API-Key: relay_sk_..."

--scope user makes it available in every project; without it the server exists only in the directory you ran the command in. Check it with /mcp in a new session. If the terminal answers command not found: claude, the extension is installed but the CLI is not: install it with curl -fsSL https://claude.ai/install.sh | bash (or npm install -g @anthropic-ai/claude-code).

Codex

Codex sends the key as a Bearer token from an environment variable, so the key stays out of config.toml. Set RELAY_API_KEY in your shell profile, then:

codex mcp add relay --url https://mcp.relaygpu.com/mcp --bearer-token-env-var RELAY_API_KEY
Cursor

The button installs the entry below with a placeholder key; replace relay_sk_... in Cursor's MCP settings afterwards. By hand: ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project).

{

"mcpServers": { "relay": { "url": "https://mcp.relaygpu.com/mcp", "headers": { "X-API-Key": "relay_sk_..." } } } }

VS Code (Copilot agent mode)

This installs the server for VS Code's own agent (Copilot Chat). Using Claude Code inside VS Code? Use the Claude Code command instead: the Claude Code extension does not read VS Code's MCP config.

VS Code asks for the key once and keeps it in its secret storage. By hand, in .vscode/mcp.json (one workspace) or with MCP: Open User Configuration (every workspace):

{

"inputs": [{ "type": "promptString", "id": "relay-key", "description": "Relay API key (relay_sk_...)", "password": true }], "servers": { "relay": { "type": "http", "url": "https://mcp.relaygpu.com/mcp", "headers": { "X-API-Key": "${input:relay-key}" } } } }

Claude Desktop
  1. Download relay.mcpb.
  2. Double-click it. Claude Desktop opens an install dialog: click Install.
  3. The extension installs switched off. Open Settings → Extensions → Relay → Configure.
  4. Paste your Relay key and click Save. The key stays in Claude Desktop's secure storage.
  5. Switch Relay on.

The bundle runs on Claude Desktop's built-in Node, so nothing else needs to be installed. get_credits and get_usage read the account, so they take a dashboard JWT or a custom-tier superkey, never a plain key; every other tool works with a plain key.

By hand instead: Settings → Developer → Edit Config opens claude_desktop_config.json in your default editor. Add the block below at the top level, save, then quit Claude Desktop (⌘Q) and reopen it:

{

"mcpServers": { "relay": { "command": "npx", "args": ["-y", "@relaygpu/mcp"], "env": { "RELAY_API_KEY": "relay_sk_..." } } } }

Local server (stdio)

Any client can run the server on your machine instead; it needs Node 20 or newer on the PATH the client sees (see Troubleshooting).

claude mcp add relay --scope user --env RELAY_API_KEY=relay_sk_... -- npx -y @relaygpu/mcp

codex mcp add relay --env RELAY_API_KEY=relay_sk_... -- npx -y @relaygpu/mcp

Cursor (~/.cursor/mcp.json) and VS Code take the same command / args / env entry as the Claude Desktop block above; VS Code adds "type": "stdio" and lists it under "servers".

Ready-to-copy files are in examples/.

Troubleshooting

  • "Server disconnected", "spawn npx ENOENT" or "Executable not found: npx" (Claude Desktop, Cursor). Apps opened from the Dock or Start menu do not load your shell profile, so a Node installed with nvm, Volta or Homebrew is not on their PATH. Use the Claude Desktop bundle, or put the full path in "command": run which npx in a terminal and paste the result (for example /Users/you/.nvm/versions/node/v22.22.0/bin/npx).
  • `TypeError: Relay: no global fetch`: the client started Node 16 or older. Install Node 20 or newer, or point "command" at a newer npx.
  • Windows: if the client cannot start npx, use "command": "cmd" with "args": ["/c", "npx", "-y", "@relaygpu/mcp"].
  • The first start takes a few seconds: npx downloads the package once (about 5 s); later starts take about 1 s.

Tools

Tools marked *keyless* work without a credential on the local server. Keyless tools answer the public catalog; with a credential, search_models, get_model, get_pricing, estimate_cost and run_model's model lookup answer your account's: the models your tier and grants can run appear and run. The others are billed or account tools and need one. A hosted server with OAuth on (see Self-hosting) takes no request without a credential, keyless tools included.

ToolWhat it doesExample
search_models *keyless*Find models by tag and/or text; image-to-image also lists every image model that takes an input image (accepts: ["image"])"Find a text-to-video model from Kling" → {tag: "text-to-video", query: "kling"}
get_model *keyless*Route, request schema, example, pricing and status of one model{model: "Qwen/qwen-image"}
get_pricing *keyless*Prices (public; your account's with a credential) for one model or all of them, including the media_storage SKUs{model: "KlingTeam/v3-T2V"}
estimate_cost *keyless*Estimate from the price list (public; your account's with a credential; not an invoice){model: "KlingTeam/v3-T2V", usage: {duration_seconds: 5, quality_mode: "std"}}
run_modelRun any model by name and wait up to 45 s{model: "Qwen/qwen-image", input: {prompt: "a red fox", size: "512x512"}}
check_task *keyless*Poll a task (waits up to 30 s){task_id: "direct:…", wait_seconds: 30}
upload_fileHost a file and get a URL for any *_url input (or an image editor's image), or a one-time upload slot for a local file on the hosted server{path: "./clip.mp4", retention: "relay1d"} · {slot: true}
list_workflowsList the workflow templates"Which workflows can I run?"
run_workflowStart a workflow run, wait up to 45 s{workflow_id: "script-voiceover", inputs: {messages: [{role: "user", content: "a lighthouse at dusk"}], voice: "Cherry"}}
check_workflow_run *keyless*Poll a run (waits up to 30 s){run_id: "…", wait_seconds: 30}
cancel_workflow_runCancel a run that is still in progress{run_id: "…"}
get_creditsCredit balance, promos and consumption (JWT or custom-tier superkey)"How many credits do I have left?"
get_usageUsage analytics (JWT or custom-tier superkey){period: "7d"}
search_docs *keyless*Search the Relay docs{query: "idempotency key"}

Local files

The hosted server cannot read files on your computer. How a local file reaches a model, per client:

ClientLocal file → model
Claude Code, Cursor, VS Code, Codex (hosted server)upload_file({slot: true}) returns a curl line; the agent runs it in your shell with the file's path (no key in the shell, single use, 10 minutes) and it prints the file's url; pass that url to run_model (for example as image).
claude.ai, Claude Desktop, ChatGPTupload_file({slot: true}) returns a link: open the link in your browser, pick the photo, and paste the link the page shows back into the chat; the model passes it to run_model. No key leaves the chat, single use, 10 minutes. A public URL of the file works too.
Local server (stdio), any clientupload_file({path: "./photo.png"}) uploads the file and returns its url.

Image editors: search_models({tag: "image-to-image"}) lists every image model that takes an input image, each with accepts: ["image"].

Notes

  • Auth. On the local server, and on a hosted server without OAuth, tools/list and the keyless tools answer without a credential. A hosted server with OAuth on answers every /mcp request without a credential with 401 and WWW-Authenticate: Bearer resource_metadata="…", scope="relay", which is how clients start the "Connect Relay" sign-in; X-API-Key and Authorization: Bearer keep working there. A billed tool called without one returns a MISSING_CREDENTIALS tool error that names what to set: the X-API-Key header (hosted) or RELAY_API_KEY (stdio). Errors from Relay come back as tool errors that include the error class, code, requestId and the server's detail. Your key never appears in a tool result or a log line.
  • Long tasks. run_model waits up to 45 s (wait_seconds, 0–45). If the task is still running after that, it returns the task_id and the line "Do not resubmit: call check_task with this task_id". Every submit carries an Idempotency-Key, so a retry does not bill twice. Pass your own idempotency_key if your agent might send the same submit again. Since 0.1.7 every model whose input schema takes async (image, video, audio) is submitted as a task, so a long image run returns a task_id, never a 524; chat models still answer inline.
  • Expiry. Each result link comes with its expiry: "expires 1 h after completion unless store_output was set". To keep results longer, pass store_output with a media_storage SKU from get_pricing (for example relay7d). That SKU adds a per-file fee.
  • Image links. The image routes that answer base64 (Gemini, gpt-image, FLUX-2-pro) also answer Relay's own links (urls); the server returns those links in place of the base64, for 1 h or the store_output lifetime. A result that carries base64 without a Rel

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