How do I install Jotsu MCP?
Run `pip install jotsu-mcp[cli]` to install the package including the CLI.
@getjotsu
基本情報
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
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"jotsu-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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