S
spicyapi-ai/spicy-mcp
Official SpicyAPI MCP server: let Claude, Cursor and Codex generate images, videos, speech and music with 200+ models through an unrestricted AI API, with a USD quote before every paid step.
SECURITY.md ✓
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
2026-11-14 实测:注册表里没有这个包(E404),照原样敲会失败。
安装与配置
- 复制上面的命令
- 粘成
claude_desktop_config.json里mcpServers的一项(本地服务器用 command + args,示例见 客户端接法) - 重启客户端
客户端配置(取自该仓库的安装命令)
{
"mcpServers": {
"spicyapi-ai-spicy-mcp": {
"command": "npx",
"args": ["--yes", "--package=@spicyapi/mcp", "spicyapi-mcp"]
}
}
}解析自我们于 2026-10-26 抓取的该仓库 README;我们未执行过。
command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
"servers": {
"spicyapi-ai-spicy-mcp": {
"command": "npx",
"args": ["--yes", "--package=@spicyapi/mcp", "spicyapi-mcp"]
}
}
}VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio spicyapi-ai-spicy-mcp -- npx --yes --package=@spicyapi/mcp spicyapi-mcp
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
- ★ 数取值
- 1 ★ · spicyapi-ai/spicy-mcp · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-10-23 · 最近见到 2026-11-14 · 共见到 26 次 · 被 23 个来源列出
- 评分构成
- 综合分 2,300 · 1 ★ · 23 个来源 · mcp
- 安装
npx --yes --package=@spicyapi/mcp spicyapi-mcp
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
npx --yes --package=@spicyapi/mcp spicyapi-mcp。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库
spicyapi-ai/spicy-mcp;我们收录于 2026-10-23;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# @spicyapi/mcp
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
The official local MCP server for SpicyAPI. It lets the AI assistant you
already use — Claude Desktop, Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI or any MCP
client — browse the live model catalog, compare prices, create generation tasks and collect results,
with every billable step confirmed by you.
SpicyAPI is an unrestricted AI API: one key for 200+ image, video, audio and chat models (Seedance,
Kling, Wan, MiniMax, Seedream, GPT Image, Suno and more), with no content filter added by the
platform. What a request can produce depends on the model you pick, and the catalog marks which
models are uncensored.
This package installs spicyapi-mcp (stdio) and spicyapi-mcp-http (loopback-only Streamable
HTTP). It does not contain the CLI or the Agent Skill.
Full, beginner-friendly guide: docs.spicyapi.ai/docs/mcp.
## What it does, in plain words
MCP (Model Context Protocol) is an open standard for giving AI assistants extra abilities. Once this
server is added to your assistant, you can ask in ordinary language — "make a five-second video
from this photo" — and the assistant:
1. finds a suitable model in the live catalog and reads what it accepts;
2. uploads your local file if there is one;
3. gets an exact USD quote and stops to ask you before anything is charged;
4. starts the task, waits for it and gives you the result link.
The server runs on your own computer. Your assistant app starts it when needed; there is nothing to
host.
## Requirements
Node.js 22.13 or later (node --version). npx ships with Node.js.
A SpicyAPI API key (below), and funds on the account for paid tasks. Browsing, quoting and
reading results are free.
An MCP client. Creating, retrying and purging tasks additionally require a client that
supports MCP form elicitation (the protocol's way of asking the user a question). In a client
without it those three tools return an error, usually containing
did not declare the required capability. Nothing is created, reserved, charged or destroyed:
creation has fetched only its free quote by then, and retry and purge have sent no request. The
read-only tools still work.
## Get a key first
1. Create an account at spicyapi.ai/register — if sign-ups are
paused, that page shows how to join the waitlist.
2. On the API keys page choose Create key. Name it after the
assistant that will use it. Under Advanced you can set a daily cap, monthly budget, lifetime
cap, allowed models, IP allowlist and expiry; new keys always get the platform's default daily
cap unless you enter 0 for no cap.
3. Copy the key. It starts with sk-spicy- and is shown once.
4. For the terminal-based setups below, export it in the terminal you will run the setup command
from:
bash
export SPICYAPIKEY="sk-spicy-..." # paste your own key
In Windows PowerShell: $env:SPICYAPIKEY = "sk-spicy-...".
## Add it to your client
Every client below runs the same stdio server: npx --yes --package=@spicyapi/mcp spicyapi-mcp.
You never run this server yourself — your MCP client starts it. Launched by hand it just waits
silently on stdin, which looks like a hang. And it needs --package=@spicyapi/mcp in front of the
binary name, because this package ships two of them; plain npx @spicyapi/mcp fails with
already use — Claude Desktop, Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI or any MCP
client — browse the live model catalog, compare prices, create generation tasks and collect results,
with every billable step confirmed by you.
SpicyAPI is an unrestricted AI API: one key for 200+ image, video, audio and chat models (Seedance,
Kling, Wan, MiniMax, Seedream, GPT Image, Suno and more), with no content filter added by the
platform. What a request can produce depends on the model you pick, and the catalog marks which
models are uncensored.
This package installs spicyapi-mcp (stdio) and spicyapi-mcp-http (loopback-only Streamable
HTTP). It does not contain the CLI or the Agent Skill.
Full, beginner-friendly guide: docs.spicyapi.ai/docs/mcp.
## What it does, in plain words
MCP (Model Context Protocol) is an open standard for giving AI assistants extra abilities. Once this
server is added to your assistant, you can ask in ordinary language — "make a five-second video
from this photo" — and the assistant:
1. finds a suitable model in the live catalog and reads what it accepts;
2. uploads your local file if there is one;
3. gets an exact USD quote and stops to ask you before anything is charged;
4. starts the task, waits for it and gives you the result link.
The server runs on your own computer. Your assistant app starts it when needed; there is nothing to
host.
## Requirements
Node.js 22.13 or later (node --version). npx ships with Node.js.
A SpicyAPI API key (below), and funds on the account for paid tasks. Browsing, quoting and
reading results are free.
An MCP client. Creating, retrying and purging tasks additionally require a client that
supports MCP form elicitation (the protocol's way of asking the user a question). In a client
without it those three tools return an error, usually containing
did not declare the required capability. Nothing is created, reserved, charged or destroyed:
creation has fetched only its free quote by then, and retry and purge have sent no request. The
read-only tools still work.
## Get a key first
1. Create an account at spicyapi.ai/register — if sign-ups are
paused, that page shows how to join the waitlist.
2. On the API keys page choose Create key. Name it after the
assistant that will use it. Under Advanced you can set a daily cap, monthly budget, lifetime
cap, allowed models, IP allowlist and expiry; new keys always get the platform's default daily
cap unless you enter 0 for no cap.
3. Copy the key. It starts with sk-spicy- and is shown once.
4. For the terminal-based setups below, export it in the terminal you will run the setup command
from:
bash
export SPICYAPIKEY="sk-spicy-..." # paste your own key
In Windows PowerShell: $env:SPICYAPIKEY = "sk-spicy-...".
## Add it to your client
Every client below runs the same stdio server: npx --yes --package=@spicyapi/mcp spicyapi-mcp.
You never run this server yourself — your MCP client starts it. Launched by hand it just waits
silently on stdin, which looks like a hang. And it needs --package=@spicyapi/mcp in front of the
binary name, because this package ships two of them; plain npx @spicyapi/mcp fails with
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/spicyapi-ai-spicy-mcp/)
- 来源
- awesome · https://github.com/spicyapi-ai/spicy-mcp
- 按领域浏览
- MCP 服务
- Traction
- 1 ★
- 收录来源
- 23 个独立来源
- 收录于
- 今天
- 安全策略
- 该仓库根目录有
SECURITY.md(我们只核文件存在,未核内容)
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所属领域与标签
每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。