What authentication is required?
The server requires a PeakMojo API key set via the `PEAKMOJO_API_KEY` environment variable or the `--api-key` command line argument.
@peakmojo
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-peakmojo": {
"command": "python",
"args": [
"-m",
"mcp_server_peakmojo",
"--api-key",
"YOUR_API_KEY",
"--base-url",
"YOUR_BASE_URL"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Python server implementation for integrating with the PeakMojo API. It provides resource and tool-based access to PeakMojo functionality, and is designed for developers using the Model Context Protocol (MCP).
Install via pip (pip install mcp-server-peakmojo) or run via Docker. Configure the required environment variable PEAKMOJO_API_KEY and optionally PEAKMOJO_BASE_URL. Can also be invoked directly from Python (python -m mcp_server_peakmojo --api-key YOUR_API_KEY) or configured in Claude Desktop as an MCP server.
The server requires a PeakMojo API key set via the `PEAKMOJO_API_KEY` environment variable or the `--api-key` command line argument.
During development, if the API is not accessible, the server automatically falls back to mock responses for each endpoint, allowing testing without a live connection.
Pull the image from Docker Hub (`buryhuang/mcp-server-peakmojo:latest`) or build locally, then run with environment variables `PEAKMOJO_API_KEY` and optionally `PEAKMOJO_BASE_URL`.
It exposes resources for users, personas, scenarios, job scenarios, jobs, applications, practices, skills, and certificates, accessible via URIs like `peakmojo://users`.
Set the optional `PEAKMOJO_BASE_URL` environment variable or pass `--base-url` via command line. Defaults to `https://api.staging.readymojo.com`.
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