Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Declarative, GitOps-style machine configuration management
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"cfgd": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/tj-smith47/cfgd:0.12.0"
]
}
}
}Run this in your terminal
claude mcp add cfgd -- docker run -i --rm ghcr.io/tj-smith47/cfgd:0.12.0Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"cfgd": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/tj-smith47/cfgd:0.12.0"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"cfgd": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/tj-smith47/cfgd:0.12.0"
]
}
}
}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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account tj-smith47, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.12.0) reached the registry 32 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Draugr
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.
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Declare your entire machine (packages, dotfiles, system settings, secrets) with composable profiles and shareable, cross-platform modules.
*A bare ubuntu:24.04 container with no Neovim, no Homebrew and no config. One cfgd init later, nvim opens a fully configured LazyVim. Recorded with VHS.*
Status: Alpha. APIs may change.
Most dotfile managers track files. cfgd manages your entire machine. You declare packages, files, secrets, and system settings in version-controlled YAML. cfgd diffs what you want against what you have, builds a plan, and reconciles continuously. If something drifts, it is detected and corrected.
Profiles declare your machine's desired state: packages, files, system settings. They compose via inheritance: share a common base across machines, then specialize per context. See docs/profiles.md.
base
╱ ╲ work personal ╱ ╲ laptop devcontainer
Modules are shareable, self-contained config packages. Install someone else's dev environment or publish your own. Cross-platform package resolution picks the right manager automatically. See docs/modules.md.
Reconciliation continuously ensures machines match their declared state. Drift is detected, reported, and optionally auto-corrected. Failed actions don't abort; they're logged and skipped. See docs/reconciliation.md, or watch two machines converge through the daemon.
# Install via Homebrew
brew install tj-smith47/tap/cfgd
curl -fsSL https://github.com/tj-smith47/cfgd/releases/latest/download/install.sh | sh
cargo install cfgd
cfgd init --from git@github.com:you/machine-config.git
cfgd init
export ANTHROPIC_API_KEY=sk-... cfgd generate
source <(cfgd completion bash) # .bashrc source <(cfgd completion zsh) # .zshrc cfgd completion fish | source # config.fish
I recently switched jobs, and spent the last week of my old job backing up scripts and dotfiles, parsing out company-specific info, and composing a tarball to transfer. At the new job, I spent another few days getting my new machine reconfigured. Over time I kept discovering things I'd forgotten, and things (System Settings, for one) I wished the backup had covered. It all felt manual and incomplete: I should be able to clone a repo and have my entire workstation (packages, scripts, dotfiles, system settings) feel familiar again. Better still, to keep parts of that feeling in sync between my home and work laptops.
The other inspiration was devcontainers. At my previous company I had set up custom scripts to inject dotfiles into the devcontainer so a user could replicate their dev environment once they shell in. At minimum, I wanted my full Neovim setup available in any ephemeral container without modifying the devcontainer config in every team's repository to accommodate it. I needed something that could bootstrap my config into any environment from the outside, regardless of whose repo I was working in. Plus, I had some coworkers in need of education about the superiority of vim-motions, and wanted a quick way to share my exact setup, down to the alias.
cfgd borrows from the best ideas across practices:
This is my favorite feature: a single packaged config for a tool that works anywhere.
cfgd module create my-dev-env
cfgd profile update --module community/nvim
A module declares packages with cross-platform resolution, config files, shell environment variables and aliases, and lifecycle scripts:
apiVersion: cfgd.io/v1alpha1
kind: Module metadata: name: nvim description: Neovim editor configuration spec: depends: [node, python] packages:
See docs/modules.md for the full spec including git file sources, registries, and dependency resolution.
| cfgd | chezmoi | Nix Home Manager | Ansible | Puppet | |
|---|---|---|---|---|---|
| Focus | Full machine state | Dotfiles | Dotfiles + packages (Nix) | General automation | Server/infra state |
| Packages | 18 managers | None | Nix only | Any (via tasks) | Any (via providers) |
| Drift detection | Continuous (daemon) | Manual | On rebuild | Manual | Continuous (agent) |
| Cross-platform resolution | Per-package manager mapping | N/A | Nix-only | Per-task conditionals | Per-OS Hiera data |
| Shareable modules | First-class | Templates only | Flakes | Roles (Galaxy) | Forge (server-oriented) |
| Team config | Policy tiers + Crossplane | N/A | Flake inputs | N/A | Puppet Enterprise |
| Infrastructure | Single binary, zero servers | Single binary | Nix daemon | SSH (or AWX) | PuppetServer + PuppetDB + CA |
| Learning curve | YAML + CLI | Go templates | Nix language | YAML + Jinja2 | Puppet DSL (Ruby) |
Puppet is the closest philosophical match: declarative state, continuous enforcement, module ecosystem. If that model clicked for you but standing up a JVM server and writing a Ruby-era DSL to manage your dotfiles in 2026 doesn't, cfgd is what that idea looks like rebuilt from scratch for developer workstations.
cfgd is a good fit when you want: one-liners for cross-platform machine bootstrapping, shareable dev environment modules, continuous reconciliation between machines or subscribed sources, or team config distribution with policy enforcement.
For developers:
cfgd init --from --apply on a new machinecfgd generate scans your system and builds profiles/modules; MCP server for AI editor integrationcfgd mcp serves the CLI itself as tools, so an assistant can reconcile a machine, not only write config for onecfgd skill install teaches your coding agent (Claude Code, Gemini, Copilot, Codex, Cursor) to author high-quality cfgd resourcesFor platform & infrastructure engineers:
kubectl cfgd debug/exec/inject/status for node inspectionFor security & compliance:
| Document | Description |
|---|---|
| Configuration | Root config (cfgd.yaml), file strategies, aliases, themes |
| Profiles | Profile YAML, inheritance, merge rules, variables |
| Modules | Module spec, cross-platform packages, dependencies, git file sources, registries |
| Reconciliation | Phase ordering, failure handling, state store |
| Packages | All package managers, skip behavior, dry-run |
| Templates | Tera template system, context variables, custom functions |
| Secrets | SOPS/age backends, 1Password, Bitwarden, Vault |
| [System Configurators](docs/system-configur
Only the beginning is shown; read the rest in the repo