Snowfakery MCP

Name: Snowfakery MCP
Author: composable-delivery

by composable-deliveryversion 0.0.6i★ –iRuns on your computer

Registry nameio.github.composable-delivery/snowfakery-mcp

Install

Overview

Description from the maker (original English)

MCP server for authoring, analyzing, debugging, and running Snowfakery recipes

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Games, sports, food & learning

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "snowfakery": {
      "command": "uvx",
      "args": [
        "snowfakery-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add snowfakery -- uvx snowfakery-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "snowfakery": {
      "command": "uvx",
      "args": [
        "snowfakery-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "snowfakery": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "snowfakery-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account composable-delivery, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Games, sports, food & learningi

More stars than 0% of the other 1283 servers in this category
Published to the registry more recently than 2% of the other 1283 servers in this category
Basic checks equal to or better than 100% of the other 1283 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Snowfakery MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.0.6) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: slopped.site, Artsonia MCP, Canvas Parent MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

slopped.site

by slopped.site

Read-only tools over slopped.site: AI-made art, lore, games, sites, the curriculum.

Runs in the cloudUpdated today

Install

Artsonia MCP

by chrischall

Parent/fan access to Artsonia student-art portfolios, comments, and fans (AI-built).

Runs on your computerUpdated today

Install

Canvas Parent MCP

by chrischall

Canvas LMS (Instructure) for Claude — courses, grades, assignments, planner, files

Runs on your computerUpdated today

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Snowfakery MCP Server

Power up your AI workflows with Snowfakery data generation — Use Claude, ChatGPT, and other AI assistants to author, debug, and run data recipes through the Model Context Protocol.

MCP Registry

mcp-name: io.github.composable-delivery/snowfakery-mcp

What is this?

Snowfakery is a YAML-based tool for programmatically generating test data. This MCP server connects Snowfakery to AI assistants, letting you:

Draft recipes with AI assistance backed by real Snowfakery docs and examples
Validate recipes before running them with detailed error feedback
Execute recipes and iterate on results interactively
Debug issues with static analysis and recipe inspection
Generate Salesforce mappings for CumulusCI workflows

Perfect for teams that need realistic test data—from Salesforce admins to developers building data pipelines.

Quick Start

Install `uv`

We recommend using uv for installs and for running from source.

Install uv (macOS/Linux):

  curl -LsSf https://astral.sh/uv/install.sh | sh

Install uv (Windows PowerShell):

  powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

See the official uv install docs: https://docs.astral.sh/uv/getting-started/installation/

Claude Desktop (recommended)

For Claude Desktop, prefer using the .mcpb bundle from Releases:

Download the latest .mcpb from https://github.com/composable-delivery/snowfakery-mcp/releases
Add the bundle in Claude Desktop as an MCP server bundle

This bundle includes the pinned runtime metadata (uv.lock, manifest.json) and is the easiest way to get a reproducible setup.

Install & Run (CLI)

# Recommended: isolated install

uv tool install snowfakery-mcp

Then run the server

snowfakery-mcp

Or from source:

git clone https://github.com/composable-delivery/snowfakery-mcp.git

cd snowfakery-mcp uv sync uv run snowfakery-mcp

Connect to Claude (Desktop)

Add to your Claude Desktop claude_desktop_config.json:

"mcpServers": { "snowfakery-mcp": { "command": "snowfakery-mcp" } } }

Then ask Claude:

"Show me an example Snowfakery recipe" or "Help me write a recipe to generate 100 Salesforce accounts"

Features

Resources — Access docs, examples, and schemas:

Snowfakery documentation and recipe examples
JSON schema for recipe validation
Run outputs and artifacts

Tools — Interact with recipes:

Validate & analyze recipes (catch errors early)
Run recipes and capture output
List & retrieve example recipes
Generate CumulusCI mapping files

Learn More

[MCP_SERVER_SPEC.md](MCP_SERVER_SPEC.md) — detailed design and tool catalog
[Snowfakery docs](https://snowfakery.readthedocs.io/) — recipe language reference
[Contributing](CONTRIBUTING.md) — how to contribute

Community

We want this to be welcoming at any level. Questions, ideas, and contributions are always welcome!

Questions & ideas? Open a GitHub Discussion
Found a bug? Open an Issue with a minimal recipe
Want to contribute? See CONTRIBUTING.md
Security concern? See SECURITY.md

Development

# Install dev dependencies

uv sync --all-groups

Run tests

uv run pytest

Type check

uv run mypy snowfakery_mcp

Lint & format

uv run ruff check snowfakery_mcp tests scripts evals uv run ruff format snowfakery_mcp tests scripts evals

Evals (Agentic Testing)

This repo includes inspect-ai tasks for testing the MCP server with AI models:

# Install eval dependencies

uv sync --group evals

Run evaluation

uv run inspect eval evals/inspect_tasks.py@snowfakery_mcp_agentic --model openai/gpt-4o-mini

See evals/ for more examples and troubleshooting.

Notes

The repo includes the upstream Snowfakery repo as a git submodule (Snowfakery/) for development
When running from source, use uv run ... to ensure the pinned environment
PyPI installs use bundled docs/examples (no submodule required)

Releases

See GitHub Releases for sdist, wheel, and .mcpb bundles (recommended for Claude Desktop).

Snowfakery MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Games, sports, food & learningi

Common questions

Alternatives

slopped.site

Artsonia MCP

Canvas Parent MCP

README from the maker

Snowfakery MCP Server

MCP Registry

What is this?

Quick Start

Install uv

Claude Desktop (recommended)

Install & Run (CLI)

Then run the server

Connect to Claude (Desktop)

Features

Learn More

Community

Development

Run tests

Type check

Lint & format

Evals (Agentic Testing)

Run evaluation

Notes

Releases

Install `uv`