How do I install Jotsu MCP?
Run `pip install jotsu-mcp[cli]` to install the package including the CLI.
@getjotsu
基本信息
Workflow engine for executing Model Context Protocol (MCP) workflows. It provides a lightweight runtime for running AI-powered tasks across MCP-compatible servers with built-in support for authentication, resources, and tools. This package powers the Jotsu platform but can also b
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"jotsu-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}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。
Jotsu MCP is a general‑purpose Python library for implementing the Model Context Protocol (MCP) and creating workflows that use MCP tools, resources, and prompts. It is intended for developers who want to build and run MCP‑based workflows, especially with models that do not natively support MCP.
Install the package with pip install jotsu-mcp[cli]. Use the CLI command jotsu-mcp workflow init to create a workflow.json file, then run it with jotsu-mcp workflow run ./workflow.json. Workflows are defined as JSON and can connect to MCP servers to call tools.
Run `pip install jotsu-mcp[cli]` to install the package including the CLI.
Workflows are defined in a JSON file, by default named `workflow.json`.
Yes, server IDs may only contain lowercase letters, numbers, `:`, `_`, or `-`.
No, the publicly available Hello World server has no authentication.
When running a workflow, output consists of three messages: workflow start, node message, and workflow end. The final result appears in the `result` field of the workflow‑end node.

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