How do I install Jotsu MCP?
Run `pip install jotsu-mcp[cli]` to install the package including the CLI.
@getjotsu
Basic information
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
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"jotsu-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}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.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.

Model Context Protocol Servers

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