Wiro AI
What it does
Run Wiro AI models, build and run workflows, and talk to Studio and your Wiro agents.
- Connects 电脑或云端
- Account or key Cloud: Needs Authorization · Local: Needs WIRO_API_KEY, WIRO_API_SECRET
- Category 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
通过 5/5 项检查 · 你的提问会经过开发者的服务器(mcp.wiro.ai) · ✓ 命令已检查 2026年11月14日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 5 分钟
需要 Wiro AI 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
打开 Claude 的 Connectors 页面
CustomizeConnectors
点击“Add” → “Custom” → “Web”,填写这 2 项
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Name · 名称Wiro AIRemote MCP server URL · 地址https://mcp.wiro.ai/v1在 Request headers 下添加这个名称和值
Header 名称Authorization值Bearer <在这里粘贴你的密钥>只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
在聊天中开启
+ConnectorsWiro AI
试一试
用 Wiro AI 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Wiro AI,或回答中出现 Wiro AI 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Wiro AI
Wiro AI 连接时需要你自己的密钥,但 OpenAI 帮助页面只说明了 OAuth 登录,没有我们能核实的填密钥方式
你可以改用这些方式
A · 使用能连接 Wiro AI 的应用
- 需要 Wiro AI 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
- 需要 Wiro AI 的密钥(在开发者网站创建)
- 需要 Wiro AI 的密钥(在开发者网站创建)
- 需要 Wiro AI 的密钥(在开发者网站创建)
可连接 Claude Code · 约 5 分钟
需要 Wiro AI 的密钥(在开发者网站创建)
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add --transport http --scope user wiro https://mcp.wiro.ai/v1 --header 'Authorization: Bearer {wiro_credentials}'按 Enter 前,把“your-value”改成你的密钥
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
在 Claude Code 中输入 /mcp
应能看到 Wiro AI 在列表中并显示已连接
试一试
用 Wiro AI 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Wiro AI,或回答中出现 Wiro AI 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 5 分钟
需要 Wiro AI 的密钥(在开发者网站创建)
填写你的密钥
在 Wiro AI 的设置中,Authorization 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
在 Cursor 中以 Agent 模式打开 AI 聊天
试一试
用 Wiro AI 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Wiro AI,或回答中出现 Wiro AI 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 5 分钟
需要 Wiro AI 的密钥(在开发者网站创建)
填写你的密钥
在 Wiro AI 的设置中,Authorization 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
在 VS Code 中以 Agent 模式打开 AI 聊天
试一试
用 Wiro AI 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Wiro AI,或回答中出现 Wiro AI 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
开发者专用:终端命令和 JSON 设置
通过网页连接
Claude Code
claude mcp add --transport http --scope user wiro https://mcp.wiro.ai/v1 --header 'Authorization: Bearer {wiro_credentials}'Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"wiro": {
"url": "https://mcp.wiro.ai/v1",
"headers": {
"Authorization": "Bearer {wiro_credentials}"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"wiro": {
"type": "http",
"url": "https://mcp.wiro.ai/v1",
"headers": {
"Authorization": "Bearer {wiro_credentials}"
}
}
}
}安装在电脑上
Claude Code
claude mcp add --scope user wiro --env WIRO_API_KEY=your-value --env WIRO_API_SECRET=your-value -- npx -y @wiro-ai/wiro-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"wiro": {
"command": "npx",
"args": [
"-y",
"@wiro-ai/wiro-mcp"
],
"env": {
"WIRO_API_KEY": "your-value",
"WIRO_API_SECRET": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"wiro": {
"command": "npx",
"args": [
"-y",
"@wiro-ai/wiro-mcp"
],
"env": {
"WIRO_API_KEY": "your-value",
"WIRO_API_SECRET": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"wiro": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@wiro-ai/wiro-mcp"
],
"env": {
"WIRO_API_KEY": "your-value",
"WIRO_API_SECRET": "your-value"
}
}
}
}需要你填写的值
WIRO_API_KEY机密 必填 envAPI key of your Wiro project. Create one at https://wiro.ai/panel/project/newWIRO_API_SECRET机密 必填 envAPI secret, only for projects that use signature-based authWIRO_TOOLSETSenvTool groups to load, comma-separated: models, workflows, agents. Leave it out to load all of them.- Optional. Leave it out to sign in with your Wiro account in the browser, or send your project credentials.
说明仍为英文原文。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
一览
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
它能做什么
服务器要求先登录,才会列出它的工具。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月15日
- ✓ 通过
作者与仓库一致
注册名称已通过域名 wiro.ai 验证(注册中心会核实域名所有权)
- ✓ 通过
仍在维护
代码最后更新于前天
- ✓ 通过
有许可证
使用 MIT
- ✓ 通过
端点有响应
在 149 毫秒内响应(HTTP 401)
- ✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
讨论
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
用户评价
还没有评价
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 6132 个服务器的 89%
- 发布到注册中心的时间比此分类中其他 6132 个服务器的 95% 更新
- 基础检查结果等于或优于此分类中其他 6132 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Wiro AI 安全吗?
它在 5 项适用的基础检查中通过了 5 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
你需要填写:Authorization, WIRO_API_KEY, WIRO_API_SECRET
它在我的电脑上运行还是在云端?
两种方式都可以:安装在你的电脑上,或者连接云端版本。
它还在维护吗?
GitHub 仓库最后更新于前天,最新版本(1.5.8)于前天进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
有什么可以替代它?
同一分类中有:Context7, Codebase Memory, OpenSEO
同类别的其他选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
OpenSEO
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Wiro MCP Server
Official MCP server for Wiro AI: run image, video, audio and LLM models, build and run workflows, and deploy and talk to AI agents from Cursor, Claude Code, Claude Desktop, Windsurf and any other MCP client.
Website · Models · Docs · Dashboard
@wiro-ai/wiro-mcp is a TypeScript Model Context Protocol server that runs locally over stdio, with npx or Docker. Its tools are grouped in three sets:
- Models: search the Wiro AI model catalog, read a model's parameters and price, run it and wait for the result, upload input files and browse past tasks.
- Workflows: build multi-step workflows that chain models, run them, resume failed runs, browse the public gallery, and design workflows together with the Workflow Agent.
- Agents: talk to Studio, the creative agent that runs models for you, and deploy, configure, run and message your own agents built from templates or from scratch.
Playbooks explain each job step by step, so the assistant knows the order of calls, what costs money and what needs your approval. The hosted server at https://mcp.wiro.ai/v1 serves the same tools with nothing to install.
Quick Start
Local npx and library usage require Node.js 20 or later. The hosted MCP endpoint and the Docker image do not require a local Node.js installation.
1. Get API Keys
Sign up at wiro.ai and create a project at wiro.ai/panel/project/new to get your API key and secret.
2. Add to Your AI Assistant
Cursor: open MCP settings (Cmd+Shift+P → "Open MCP settings") and add:
{
"mcpServers": { "wiro": { "command": "npx", "args": ["-y", "@wiro-ai/wiro-mcp"], "env": { "WIRO_API_KEY": "your-api-key", "WIRO_API_SECRET": "your-api-secret" } } } }
Claude Code:
claude mcp add wiro -- npx -y @wiro-ai/wiro-mcp
Then set environment variables WIRO_API_KEY and WIRO_API_SECRET.
Claude Desktop: add to claude_desktop_config.json:
{
"mcpServers": { "wiro": { "type": "stdio", "command": "npx", "args": ["-y", "@wiro-ai/wiro-mcp"], "env": { "WIRO_API_KEY": "your-api-key", "WIRO_API_SECRET": "your-api-secret" } } } }
Windsurf: add to MCP settings:
{
"mcpServers": { "wiro": { "command": "npx", "args": ["-y", "@wiro-ai/wiro-mcp"], "env": { "WIRO_API_KEY": "your-api-key", "WIRO_API_SECRET": "your-api-secret" } } } }
OpenClaw: configure a remote server under mcp.servers:
{
"mcp": { "servers": { "wiro": { "url": "https://mcp.wiro.ai/v1", "transport": "streamable-http", "connectionTimeoutMs": 10000, "headers": { "Authorization": "Bearer ${WIRO_MCP_AUTH}" } } } } }
Set WIRO_MCP_AUTH in OpenClaw's environment to your API key, or to API_KEY:API_SECRET for a project with signature-based auth. Then verify with openclaw mcp doctor wiro --probe. On older OpenClaw releases without that probe command, use openclaw mcp show wiro, restart OpenClaw, and run /tools verbose.
Hermes: add to ~/.hermes/config.yaml:
mcp_servers:
wiro: url: "https://mcp.wiro.ai/v1" headers: Authorization: "Bearer ${WIRO_MCP_AUTH}" timeout: 60 connect_timeout: 10
Store WIRO_MCP_AUTH (your API key, or API_KEY:API_SECRET) in ~/.hermes/.env, then run /reload-mcp and /tools.
3. Start Using
Ask your AI assistant:
Models
- *"Generate a photorealistic image of a mountain lake at sunset"*
- *"What video generation models are available on Wiro?"*
- *"Show me the parameters for google/veo3-1"*
- *"Create a 5-second video with Kling V3: a drone shot over mountains"*
- *"Check the status of my last task"*
- *"Show my latest productions and open the newest result"*
Workflows
- *"Build a workflow that turns a product photo into a short ad video, then run it on this photo"*
- *"Find a public workflow for podcast covers and run it with my show's name"*
- *"Ask the Workflow Agent to add an upscale step to my product ad workflow and save it"*
- *"Why did my last workflow run fail? Resume it if it can be resumed"*
Agents
- *"Ask Studio for three logo ideas for a coffee shop"*
- *"Which agent templates can manage Instagram? What does each plan cost?"*
- *"Deploy the Instagram manager agent on the Starter plan and tell me what it still needs"*
- *"Tell my support agent to summarise today's tickets"*
Docker
Every release is also published on Docker Hub as wiroai/wiro-mcp, for linux/amd64 and linux/arm64. The image runs the same stdio server, so you need Docker but not Node.js:
docker run -i --rm -e WIRO_API_KEY wiroai/wiro-mcp
-e WIRO_API_KEY hands the variable from your environment to the container. For a project with signature-based auth, add -e WIRO_API_SECRET as well. WIRO_TOOLSETS passes through the same way. Keep -i, since the server reads its requests from stdin, and leave out -t.
In a client config, docker is the command and the credentials go in env. This works in Cursor, Claude Desktop and Windsurf:
{
"mcpServers": { "wiro": { "command": "docker", "args": ["run", "-i", "--rm", "-e", "WIRO_API_KEY", "-e", "WIRO_API_SECRET", "wiroai/wiro-mcp"], "env": { "WIRO_API_KEY": "your-api-key", "WIRO_API_SECRET": "your-api-secret" } } } }
Claude Code:
claude mcp add wiro -e WIRO_API_KEY=your-api-key -e WIRO_API_SECRET=your-api-secret -- docker run -i --rm -e WIRO_API_KEY -e WIRO_API_SECRET wiroai/wiro-mcp
For an API Key Only project, leave out the WIRO_API_SECRET value. Docker only passes variables that are set, so the -e WIRO_API_SECRET argument can stay.
Image tags follow the npm versions: wiroai/wiro-mcp: pins a release and latest is the newest one. A client does not fetch a newer latest by itself, so run docker pull wiroai/wiro-mcp to update. Pulling once before the first start also means the client does not wait for the download.
Authentication
Wiro AI supports two authentication types, chosen when you create a project:
Signature-Based (Recommended)
More secure. Requires both API key and API secret.
WIRO_API_KEY=your-api-key
WIRO_API_SECRET=your-api-secret
API Key Only
Simpler. Only requires the API key. Omit WIRO_API_SECRET from your config.
WIRO_API_KEY=your-api-key
The hosted server takes the same credentials as a bearer token: Authorization: Bearer API_KEY:API_SECRET for a signature-based project, or Authorization: Bearer API_KEY for an API Key Only project.
Available Tools
Models
| Tool | Description |
|---|---|
search_models | Search and browse AI models by keyword, category, or owner |
get_model_schema | Get full parameter schema and pricing for any model, or the parameters and output ports of a workflow utility |
recommend_model | Find models for a goal from two or three key words, best matches first |
explore | Browse curated models grouped by category, no parameters needed |
run_model | Run any model, waiting up to 45s by default (up to an hour with timeout_seconds) before it returns a recoverable task token |
wait_for_task | Continue waiting for an existing task without submitting or billing a duplicate run |
get_task | Check task status immediately or wait up to 45s with wait_seconds |
list_tasks | Browse authenticated task history across conversations, then continue with get_task |
get_task_price | Get the cost of a completed task |
cancel_task | Cancel a queued task |
kill_task | Stop a queued or running task |
upload_file | Upload a file from a public http(s) URL (up to about 100 MB) for use as model input |
For long generations, run_model returns the existing task ID and token when its wait budget expires. The assistant must continue with wait_for_task; retrying run_model creates a separate billable task.
Workflows
A workflow chains models and built-in utility steps into one graph with its own inputs and outputs. Every model step is charged like a normal model run when it finishes. Wiro fills a model input you leave out with the model's default, so the save result lists what it filled, and a graph can be at most 40 KB of JSON.
| Tool | Description |
|---|---|
list_workflows | List the workflows in your workspace, or search the public gallery by text, tag or model |
get_workflow | Read a workflow's inputs, outputs and step graph |
create_workflow | Save a new workflow from a step graph. Wiro checks it against the live model catalog and returns every problem it finds at once |
update_workflow | Edit a workflow's title, description, tags or graph without overwriting newer changes; a new graph is saved only after you confirm a summary of the change |
clone_workflow | Copy a public workflow into your workspace |
delete_workflow | Delete a workflow, after your confirmation |
run_workflow | Run a workflow and wait for its outputs; can stop after a chosen step to test the first steps |
wait_for_workflow_run | Keep waiting on a run, read its outputs, or see why a step failed |
resume_workflow_run | Continue a failed or stopped run without paying again for finished steps |
list_workflow_runs | Browse past and current runs, including runs started on wiro.ai |
save_workflow_from_agent | Save a workflow the Workflow Agent proposed, as a new workflow, or onto an existing one after you confirm a summary of the change |
The Workflow Agent designs workflows with you in plain language: talk to it with send_agent_message and agent: "workflow-agent", attach an existing workflow to edit, then save its proposal with save_workflow_from_agent. Conversations started through this server belong to the connected project and are separate from your Workflow Agent chats on wiro.ai.
Agents
Talk to any Wiro agent with one set of tools. agent is "studio", "workflow-agent" or the id of one of your own agents. Session names use letters, digits, dots, dashes, underscores and colons, up to 128 characters (100 for the Workflow Agent), and cannot end in "-r" followed by a number. Studio refuses a message under any other name; a session it has under another name can be read and deleted, and to go on with it you start a new session.
| Tool | Description |
|---|---|
send_agent_message | Send a message and wait for the reply, with any media, workflows or model runs it produced |
get_agent_message | Keep waiting on a reply, or read one again |
get_agent_conversation | List conversations, or read one conversation's history |
cancel_agent_message | Stop a reply that is still being written |
| delete_agent_session | Delete a conversatio