Relay

com.relaygpu由 relaygpu.com 发布官方发布者v0.1.8更新于 Oct 25, 2026

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

已验证Streamable HTTP可网页运行金融媒体与设计AI 与机器学习

概览

AI 生成的概览

Relay 让助手查找、查询价格并运行托管的图像、视频、音频和文本模型,轮询长任务、上传文件、运行多步骤工作流并搜索其文档。

可以做什么
搜索与查看模型:按标签或文本查找模型,读取模型的路由、输入结构、示例请求、价格与可用性,并离线搜索内置文档。估算花费:读取价目表(含媒体存储 SKU),估算一次调用的美元成本。运行模型:按名称执行任意 Relay 模型,轮询长时间任务,上传图像、视频或音频文件以获得可用于模型输入的链接。工作流:列出多步骤模板、启动运行、轮询状态并在步骤之间取消。账户:读取积分余额、促销积分以及按密钥的使用量与花费。
适用场景
适合让助手通过 Relay 的托管模型生成或处理图像、视频、音频和文本而无需自己编写 API 调用,并在运行前查看价格、估算成本。也适合脚本转配音等多步骤流水线,以及查询 Relay 自身文档。
运行要求
可使用无需安装的托管端点 mcp.relaygpu.com,或在 Node 20 及以上用 npx 运行本地 npm 包。需要 Relay API 密钥:托管服务通过 X-API-Key 请求头传入,本地通过 RELAY_API_KEY 环境变量传入。账户工具 get_credits 和 get_usage 需要仪表盘 JWT 或自定义层级超级密钥,普通密钥不行。需要能访问 Relay 的网络。
安装前请注意
运行模型和工作流会计费到你的密钥,工作流的每个步骤都按普通请求计费;成本估算不是账单。取消工作流只在步骤之间生效,已在运行的步骤仍会完成并计费。结果链接约一小时后过期,除非购买更长的存储。托管服务无法读取本地文件,上传需通过一次性上传槽、base64 或公开链接。该密钥可在你的账户上产生消费,请勿放入共享配置或日志。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Relay,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.relaygpu%2Fmcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "relay": {
      "type": "http",
      "url": "https://mcp.relaygpu.com/mcp"
    }
  }
}

README

@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 <relay key or dashboard JWT>
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:

bash
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:

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

Cursor

[Add relay MCP server to 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).

json
{  "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.

[Install in VS Code]

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):

json
{  "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:

json
{  "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).

bash
claude mcp add relay --scope user --env RELAY_API_KEY=relay_sk_... -- npx -y @relaygpu/mcpcodex 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 keylessFind 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 keylessRoute, request schema, example, pricing and status of one model{model: "Qwen/qwen-image"}
get_pricing keylessPrices (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 keylessEstimate 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 keylessPoll 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 keylessPoll 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 keylessSearch 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 <relay key or dashboard JWT> 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 Relay link is uploaded through /v2/files (at the store_output retention, else relay1h, free within the daily quota) and comes back as a URL and a file_id. Image content blocks are opt-in: pass inline_images: true, which applies to images of 1 MB or less.
  • Uploads. On stdio, upload_file streams a local path of up to 100 MB. The hosted server cannot read your disk: use slot: true (see Local files), base64 (up to 4 MB) or a public url. Retention defaults to relay1h.

Self-hosting

bash
docker build -t relaygpu-mcp .docker run -p 2300:2300 -e PORT=2300 -e RELAY_BASE_URL=https://relaygpu.com relaygpu-mcp

The server listens on PORT (default 2300) and calls Relay at RELAY_BASE_URL. Endpoints:

  • POST /mcp: Streamable HTTP, stateless.
  • GET /healthz: returns {status, version}.
  • GET /metrics: Prometheus text with mcp_tool_calls_total{tool,outcome} and mcp_tool_seconds{tool}.
  • GET /.well-known/mcp/server-card.json: the server and its tools.
  • GET /.well-known/oauth-protected-resource (and …/mcp): the RFC 9728 protected-resource metadata, only with OAuth on.

OAuth ("Connect Relay")

OAuth is on when both OAUTH_ISSUER and MCP_RESOURCE_URL are set; with either unset the server behaves as above (no metadata route, keyless tools answer without a credential). All three variables belong to the MCP app and are read once at start:

VariableProdStaging (VPN)Notes
OAUTH_ISSUERhttps://relaygpu.comhttps://staging-back-c54ef4a.opengpu.networkRelay's authorization server; the JWKS is read from {issuer}/v2/oauth/jwks, the exchange posts to {issuer}/v2/oauth/token
MCP_RESOURCE_URLhttps://mcp.relaygpu.com/mcphttp://relay-mcp-staging.internal.opengpu.network/mcpThis server's public /mcp URL: the access token's aud must equal it, and the metadata URL is its origin + /.well-known/oauth-protected-resource
OAUTH_MCP_CLIENT_SECRETsecretsecretThe relay-mcp client's secret: the same value as Relay's OAUTH_MCP_CLIENT_SECRET in the same environment, never shared across environments. Without it every exchange fails (503)

A Bearer value that is a JWT issued by OAUTH_ISSUER is an access token: the server verifies it (ES256 against the issuer's JWKS, aud, exp with 60 s skew), exchanges it at Relay for a 5-minute Relay credential and keeps that credential in memory per token hash until 30 s before it expires. A bad, expired or revoked token gets 401 with WWW-Authenticate: Bearer error="invalid_token", …; an authorization server that cannot be reached gets 503. Tokens, credentials and the secret are never logged.

Logs are JSON lines on stderr, WARNING and above by default (LOG_LEVEL). Without Docker, run npm ci && npm run build && node dist/http.js.

License

MIT

来源:README.md,提交 54b37af

工具

14

search_models

Search Relay models

Lists Relay models by tag and/or text. Common tags: text-to-image, image-to-image, text-to-video, image-to-video, video-to-video, text-to-speech, speech-to-text, text-to-text, text-to-embedding. image-to-image also lists every image model that takes an input image. Returns name, tag, route and accepts (input media the model takes, e.g. ["image"]; [] for none) per model (at most 50). With a credential the list is your account's view (what its tier and grants can run), public otherwise. Then call get_model with a name for its input schema.

输入参数tagquery

get_model

Get a Relay model

Returns one model's route, request_schema (what run_model's input must follow), request_example, pricing and availability. With a credential the answer is your account's view (what its tier and grants can run), public otherwise. Then call run_model with an input shaped like request_example.

输入参数model必填

get_pricing

Get Relay pricing

Returns Relay's list prices (USD), optionally for one model (with a credential your account's view: its tier and grants; public otherwise), plus media_storage: the per-file fees of the store_output / upload retention SKUs (relay1d, relay7d, …). Then estimate_cost for a number.

输入参数model

estimate_cost

Estimate a Relay cost

Estimates the USD cost of a call from the price list (with a credential your account's view: its tier and grants; public otherwise): an estimate, not an invoice (the bill uses provider-reported usage and any custom pricing on your account). Pass only the usage fields the model's billing_type (see get_model or get_pricing) reads: per_token: input_tokens, output_tokens, cached_input_tokens; per_image: image_count, resolution_tier; per_second_video: duration_seconds, quality_mode, sound; per_second_audio: duration_seconds; per_character: character_count; per_media_token: media_input_tokens, media_output_tokens. Add store_output / retention / file_count for storage fees.

输入参数model必填usage必填

run_model

Run a Relay model

Runs any Relay model by name (billed to your key). input follows get_model's request_schema (request_example runs as is). Every model whose schema takes async (image, video, audio) is submitted as a task: it waits up to 45 s, past that it returns a task_id — do not resubmit, call check_task. Chat models answer inline. Result links expire 1 h after completion unless store_output names a media_storage SKU from get_pricing. Pass an idempotency_key if you may retry the same submit. Needs a Relay credential.

输入参数input必填model必填store_outputwait_secondsinline_imagesidempotency_key

check_task

Check a Relay task

Checks a task run_model returned (no key needed: the task_id is the capability). Waits up to 30 s for it to finish; returns the result when completed, else its status: then call check_task again, never resubmit. Task results are kept 1 h after they finish.

输入参数task_id必填wait_secondsinline_images

upload_file

Upload a file to Relay

Hosts an image, video or audio file on Relay and returns its url: pass that url to any *_url input of run_model. Give exactly one of path (local server only, ≤ 100 MB), base64 (≤ 4 MB) or url (a public link Relay copies). retention: relay1h (default, free within a daily quota) or a media_storage SKU from get_pricing. Needs a Relay credential.

输入参数urlpathslotbase64filenameretention

list_workflows

List workflows

List Relay's workflow templates: multi-step pipelines (e.g. script → voiceover) run as one call. Each entry has workflow_id, input_schema and its steps (step_id + model). Run one with run_workflow; inputs follow input_schema.

无需输入参数。

run_workflow

Run a workflow

Start a workflow run (one submit) and wait up to wait_seconds (≤ 45) for it to finish. Completed → the final output; still running → run_id: call check_workflow_run with it, never resubmit (a new run bills again). Each step is billed as an ordinary request. webhook_url gets ONE signed workflow.completed / workflow.failed delivery when the run ends. Get workflow_id and the inputs shape from list_workflows. Needs a Relay credential.

输入参数inputs必填webhook_urlworkflow_id必填store_outputwait_secondsidempotency_key

check_workflow_run

Check a workflow run

Poll a workflow run by run_id, waiting up to wait_seconds (≤ 30) for it to end. Completed → the final output; failed / cancelled → the error; still running → its steps so far: call check_workflow_run again. No key needed: the run_id is the access token.

输入参数run_id必填wait_seconds

cancel_workflow_run

Cancel a workflow run

Cancel a workflow run. Cancels between steps only: a step already running completes and bills. A run that has already ended answers WORKFLOW_RUN_NOT_CANCELLABLE. Needs a Relay credential.

输入参数run_id必填

get_credits

Get credit balance

Read the account's credit balance, active promo credits and consumption. Needs a dashboard JWT or a custom-tier superkey; a plain inference key gets PERMISSION_DENIED (403). Needs a Relay credential.

无需输入参数。

get_usage

Get usage

Read the account's usage and spend per API key, newest keys first, 10 keys per page (pass starting_after = the previous answer's next_cursor for the next page; limit up to 1000). Pass period (e.g. 7d, max 30d) for a by-date breakdown, or from + to. Needs a dashboard JWT or a custom-tier superkey; a plain inference key gets PERMISSION_DENIED (403). Needs a Relay credential.

输入参数tofromlimitperiodstarting_after

search_docs

Search the Relay docs

Search Relay's public docs (bundled, offline) for how-to, auth, errors, limits, retries, webhooks, files and pricing rules. Returns the best-matching sections: page, heading, docs path with anchor and an excerpt. For a model's input fields use get_model instead; to find a model use search_models.

输入参数limitquery必填

版本历史

5
  1. v0.1.8最新Oct 24, 2026
  2. v0.1.7Oct 15, 2026
  3. v0.1.6Oct 15, 2026
  4. v0.1.5Oct 15, 2026
  5. v0.1.4Oct 12, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分