Productivity · Local MCP server
YAML Workflow
Expose declarative YAML-defined workflows as MCP tools over stdio.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.orieg/yaml-workflow- Version
- 0.9.6
- Status
- Active
- Category
- productivity
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-08-17
- Updated
- 2026-08-17
- Publisher
- orieg (GitHub) · 2 servers with pages here
- Repository
- github.com/orieg/yaml-workflow
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | yaml-workflow | 0.9.6 | stdio |
How to connect YAML Workflow
YAML Workflow runs locally from a Python package published to PyPI: yaml-workflow version 0.9.6. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx yaml-workflow. Required arguments: --dir.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"yaml-workflow": {
"command": "uvx",
"args": [
"yaml-workflow"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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