YAML Workflow runs on your own machine — the client starts it, so there is no endpoint to ping. 421 installs a week from pypi. Last commit 24 Aug 2026.
Expose declarative YAML-defined workflows as MCP tools over stdio
We read the source, 13 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
self.workflow = yaml.load(f, Loader=get_safe_loader())
search_pattern = os.path.join(search_path_base, pattern)
result = subprocess.run(
exec(code, {}, exec_context)
"env": dict(os.environ),
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add yaml-workflow -- uvx yaml-workflow
{
"mcpServers": {
"yaml-workflow": {
"args": [
"yaml-workflow"
],
"command": "uvx"
}
}
}
[mcp_servers.yaml-workflow]
command = "uvx"
args = ["yaml-workflow"]
{
"mcpServers": {
"yaml-workflow": {
"args": [
"yaml-workflow"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"yaml-workflow": {
"args": [
"yaml-workflow"
],
"command": "uvx"
}
}
}
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Answers built from our own checks of this server.