YAML Workflow MCP Server

A lightweight workflow engine for CI/CD pipelines, data processing, and DevOps automation. Define reproducible, version-controlled workflows in YAML - run them locally, in CI, or on any machine with Python installed.

People connecting productivity tools to Claude, Cursor, VS Code, or another MCP client. The project is written in Python.

VERIFIED ACTIVE

LAST COMMIT 2026-08-24 · ★ 3 · #51 OF 139 MAINTAINED PRODUCTIVITY · VERIFIED 2026-08-25

MIT · Python servers · how we verify → /methodology

01 · Install YAML Workflow

Claude Code

claude mcp add orieg-yaml-workflow -- uvx yaml-workflow

Claude Desktop / Cursor / VS Code - add to config

{
  "mcpServers": {
    "orieg-yaml-workflow": {
      "command": "uvx",
      "args": [
        "yaml-workflow"
      ]
    }
  }
}

Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.

Using another client? Same JSON, different key

Claude Desktop · mcpServers

Cursor · mcpServers

VS Code · servers

Windsurf · mcpServers

Zed · context_servers

Cline · mcpServers

Roo Code · mcpServers

Continue · mcpServers

LibreChat · mcpServers

Gemini CLI · mcpServers

Codex CLI · mcp_servers

Full setup guides: every client.

02 · Evidence

Security posture

What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.

runs as local process (stdio) - runs on your machine with your user's permissions

license MIT - declared in the repository

pypi package yaml-workflow - check the name against the project README before installing (PyPI has no namespace ownership)

registry namespace io.github.orieg is GitHub-verified and matches the repo owner

03 · What YAML Workflow can do

Prose above is summarized from the project's README and registry record - no invented capabilities.

Latest releases

v0.9.5 · 2026-08-17

discovery/validate/dry-run/run meta-tools + Glama metadata · bump version to 0.9.5

v0.9.4 · 2026-08-15

Phase 0: adoption + credibility fixes · Editor Integration guide + promote .yaml-workflow.yaml convention · address Copilot review on editor-integration guide · prepare official MCP Registry publishing · address…

v0.9.3 · 2026-08-14

bump the github-actions group with 4 updates · bump the github-actions group across 1 directory with 2 updates · bump the dependencies group across 1 directory with 2 updates · bump codecov/codecov-action from 6 to 7…

04 · Who maintains YAML Workflow

YAML Workflow is maintained by orieg. We track 2 MCP servers from orieg - 2 actively maintained, 4 combined GitHub stars, oldest repo from Apr 2025.

05 · Facts

category
productivity - ranked #51 of 139 actively-maintained productivity servers as of 2026-08-25.
release cadence
3 releases in the last 90 days (latest 2026-08-17)
registry
io.github.orieg/yaml-workflow (active, first published 2026-08-15 · 3 versions)
packages
pypi:yaml-workflow

06 · YAML Workflow FAQ

What is YAML Workflow?

A lightweight workflow engine for CI/CD pipelines, data processing, and DevOps automation. Define reproducible, version-controlled workflows in YAML - run them locally, in CI, or on any machine with Python installed.

Is YAML Workflow still maintained?

Yes - as of 2026-08-25, its last commit was 2026-08-24 and it shipped 3 releases in the last 90 days. We re-verify nightly.

How do I install YAML Workflow?

Run `uvx yaml-workflow`. You can also paste the ready-made client config above.

Does YAML Workflow run locally?

Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.

07 · Alternatives to YAML Workflow