阶跃星辰 MCP server 支持哪些模型?
支持文本大模型、视觉理解大模型、文生图模型和语音模型。
@weidafeng
Basic information
基于阶跃星辰API的MCP server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"StepFun": {
"command": "uvx",
"args": [
"stepfun-mcp"
],
"env": {
"STEPFUN_API_KEY": "YOUR_STEPFUN_API_KEY_HERE",
"STEPFUN_API_HOST": "https://api.stepfun.com",
"STEPFUN_MCP_BASE_PATH": "YOUR_OUTPUT_DIR",
"STEPFUN_API_RESOURCE_MODE": "local"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
阶跃星辰 MCP server 是一个基于 StepFun API 的 MCP 服务器,用于调用阶跃星辰开放平台提供的多种模型能力,包括文本大模型、视觉理解大模型、文生图模型和语音模型。该项目仅供个人学习交流使用,实现上参考了 MiniMax MCP。
通过 pip 安装 stepfun-mcp,然后在 MCP 客户端配置文件中设置环境变量(如 STEPFUN_API_KEY、STEPFUN_API_HOST、STEPFUN_MCP_BASE_PATH、STEPFUN_API_RESOURCE_MODE)后即可使用。具体配置示例见仓库中的 JSON 文件。
支持文本大模型、视觉理解大模型、文生图模型和语音模型。
README 未说明,请访问阶跃星辰开放平台获取。
只需运行 `pip install stepfun-mcp` 或从源码 `pip install .` 即可。
通过环境变量 `STEPFUN_MCP_BASE_PATH` 配置输出目录。
README 明确标注“仅供个人学习交流使用”。

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