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

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxyaml-workflow0.9.6stdioNone declared

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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